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Operations Research, Systems Engineering and Industrial Engineering

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Articles 3601 - 3630 of 3946

Full-Text Articles in Numerical Analysis and Scientific Computing

Research On Mode Shape Characteristics Simulation Of Bell-Shaped Vibratory Angular Rate Gyro, Liu Ning, Su Zhong Jan 2019

Research On Mode Shape Characteristics Simulation Of Bell-Shaped Vibratory Angular Rate Gyro, Liu Ning, Su Zhong

Journal of System Simulation

Abstract: It presents the analysis method of metal shell vibratory gyro’s mode shape for simulation research on Bell-shaped vibratory angular rate gyro, and gives the solution process and result of simulation analysis. Based on the Kirchhoff-Love assuming, by numerical methods to solve mode shape functions of bell-shaped resonator, the low-order modes of bell-shaped resonator is given through comprehensive analysis and finite element simulation results. The mode shaped characteristics of bell-shaped resonator is analyzed effectively through this method. Theory and simulation methods verify the correctness of the theory and promote modal, and lay the bell-shaped vibratory angular rate gyro …

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Key Points Analysis And Simulation For Sea Surface Velocity Estimation Based On Spaceborne Ati-Sar System, Yan He, Daiyin Zhu Jan 2019

Key Points Analysis And Simulation For Sea Surface Velocity Estimation Based On Spaceborne Ati-Sar System, Yan He, Daiyin Zhu

Journal of System Simulation

Abstract: ATI (Along Track Interferometric) technique is one of the most important applications for spaceborne SAR (Synthetic Aperture Radar) systems. ATI-SAR systems can directly detect the Doppler offset associated with each pixel of a SAR image. This is achieved by interferometric combination of two complex SAR images of the same scene. The sea surface velocity can be estimated via the calculated interferometric phase. The baseline length, velocity resolution and velocity estimation error are three important factors in the process of spaceborne ATI-SAR system design, and these three points are carefully investigated here. The basic principle and expression of spaceborne ATI-SAR …

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Economic Design Of Vsi Arma Charts, Zhang Li, Xiaoyang Dong Jan 2019

Economic Design Of Vsi Arma Charts, Zhang Li, Xiaoyang Dong

Journal of System Simulation

Abstract: To improve the sensitivity of statistical process control reducing costs for process monitoring at the same time, the economic design of autoregressive moving average control chart with variable sampling interval (VSI ARMA) was discussed. The economic model of autoregressive moving average control chart with variable sampling interval (VSI ARMA) was established based on Lorenzen and Vance’s model, in which Markov chain was used to calculate the average time to signal (ATS) through constructing a three dimensional random vector. Using genetic algorithm to search for the optimal combination of seven parameters of VSI ARMA model made the cost of …

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Electromagnetic Property Of Axial Piston Pump/Motor Magnetic Slipper Pair, Haishun Deng, Xu Pan, Huang Ran, Yuefei Deng, Dai Peng Jan 2019

Electromagnetic Property Of Axial Piston Pump/Motor Magnetic Slipper Pair, Haishun Deng, Xu Pan, Huang Ran, Yuefei Deng, Dai Peng

Journal of System Simulation

Abstract: In order to control the oil film for the slipper pair more conveniently and flexibly, the magnetic slipper pair is proposed which maintains balance by hydraulic pressure and electromagnetic force, and its mathematical model and finite element model are built. The impact of voltage, electric field strength etc. on magnetic slipper pair’s working performance and service life is analyzed. The results show that: the position of the swash plate in contact with the core of magnetic slipper pair has maximum electric field strength and prone to discharging electric which affect the service life. The main magnetic path forms a …

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Study On How To Design Simplest Chaotic Circuit With Two Charge-Controlled Memristors, Shuhua Wu, Xuwei Rong, Zhenyong Liu Jan 2019

Study On How To Design Simplest Chaotic Circuit With Two Charge-Controlled Memristors, Shuhua Wu, Xuwei Rong, Zhenyong Liu

Journal of System Simulation

Abstract: A simplest five-order chaotic circuit is designed with two HP laboratory charge-controlled memristor models and its basic dynamic characteristics are studied using the conventional dynamic analysis method, through which its initial unstable oscillation is discovered and the initial oscillation process is recorded with the maximum Lyapunov exponent; the volt-ampere characteristic and the power output of the two memristors in the circuit are computed, indicating that the memristors are passive components; and the impacts of the inductance, capacitance and conductance to the circuit system are studied using the bifurcation diagram and the maximum Lyapunov exponent spectrum. In addition, the distribution …

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Research On Involute Helical Cylindrical Gear Transmission Error Based On Abaqus, Xinrong Liu, Zhonghou Wang, Kubo Aizoh, Kaiyuan Zhang Jan 2019

Research On Involute Helical Cylindrical Gear Transmission Error Based On Abaqus, Xinrong Liu, Zhonghou Wang, Kubo Aizoh, Kaiyuan Zhang

Journal of System Simulation

Abstract: The present paper comes up with torsional vibration model of involute helical gear in order to study the transmission error of involute helical cylindrical gear. It finished the analysis about transmission error of involute helical gear both in the static and the dynamic, at the same time, it showed the laws of dynamic transmission error curve under different loads, which would be compared with the laws of static transmission error curve. The research showed that the greater the load, the larger the absolute value of transmission error, however, the peak difference of dynamic transmission error is not a linear …

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Event Triggered Optimization Method For Dynamic Task Decomposition Mode In Cloud Fusion, Wang Yan, Lijun Cheng Jan 2019

Event Triggered Optimization Method For Dynamic Task Decomposition Mode In Cloud Fusion, Wang Yan, Lijun Cheng

Journal of System Simulation

Abstract: Aiming at the characteristics of randomness, dynamics, diversity and uncertainty of arrival time in the cloud fusion mode, two triggered tasks of the new tasks randomly reaching the cloud platform and the non-executable sub-tasks are considered. To improve the sub-tasks correlation degree and the workload balance of each group, the coupling degree of the sub-tasks is decreased, and an event-triggered mechanism (ETM) based optimization method for dynamic task decomposition mode is proposed. On the basis of the unified tasks description, the optimal flow of dynamic task decomposition is designed to determine the sub-tasks information flow. A multi-objective …

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Linear Array Pattern Optimization Algorithm For Effective Estimation Of Optimum Particle Initial Values, Yongbin Chou, Shuchun Zhang, Yuancheng Wang, Wenlan Fan, Dexin Li Jan 2019

Linear Array Pattern Optimization Algorithm For Effective Estimation Of Optimum Particle Initial Values, Yongbin Chou, Shuchun Zhang, Yuancheng Wang, Wenlan Fan, Dexin Li

Journal of System Simulation

Abstract: For particle swarm optimization (PSO), all particles are always initialized randomly, but here a new initialization method is presented to improve PSO optimizer convergence performance. On the basis of desired pattern, the corresponding aperture weights are solved by analytical techniques which can to a great extent ensure that these weights are effective estimations of the current optimum particle initial values. Then they are assigned to a particle as initial values, but all other particles of the swarm are still initialized randomly. Except this new initialization step, nothing is changed in PSO optimizer. The simulation results prove that this new …

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Neural Coding Model For Fast And Significant Perceptual In The Pigeon Optic Tectum, Songwei Wang, Shuman Huang, Shi Li, Mengke Wang Jan 2019

Neural Coding Model For Fast And Significant Perceptual In The Pigeon Optic Tectum, Songwei Wang, Shuman Huang, Shi Li, Mengke Wang

Journal of System Simulation

Abstract: In the classical target recognition theory, many neurons in the mammalian retina and LGN perform DoG operations. Their functions are generally considered to be whitening, eliminating redundancy, and enhancing edges. Where is the redundant information? In this paper, the electrophysiological study of the ON-OFF neurons of the dove optic roof was performed. It was found that the FSL was used to carry out the rough and fast transfer of the whole scene information, and then the salient features in the scene were successively transmitted using the issue rate. For this reason, by analyzing the response pattern of neurons, this …

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Traffic Flow Prediction Based On Deep Learning, Mingyu Liu, Jianping Wu, Yubo Wang, He Lei Jan 2019

Traffic Flow Prediction Based On Deep Learning, Mingyu Liu, Jianping Wu, Yubo Wang, He Lei

Journal of System Simulation

Abstract: Traffic flow prediction is an important component of urban intelligent transportation system. With the development of machine learning and artificial intelligence, deep learning has been applied in traffic engineering area. Gated recurrent unit (GRU) neural network is selected to predict urban traffic flow. Cross-validation method is used to explore the optimal number of gated recurrent units. The GRU model is compared with other three predictors such as support vector regression and evaluated in different performance measurements. The results show that GRU model has better performance in traffic flow prediction than the other three models.

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Modelling Of Evs Energy Consumption From Perspective Of Field Test Data And Driving Style Questionnaires, Kezhen Hu, Jianping Wu, Mingyu Liu Jan 2019

Modelling Of Evs Energy Consumption From Perspective Of Field Test Data And Driving Style Questionnaires, Kezhen Hu, Jianping Wu, Mingyu Liu

Journal of System Simulation

Abstract: With the electric vehicles (EVs) gaining popularity in megacities, the energy consumption of EVs has subsequently caught researchers’ attention. The exploration of energy consumption of EVs has largely focused on people’s revealed driving behavior and rarely touched on their self-perception of driving styles. Aiming to investigate how the energy efficiency of EVs is shaped by the driving behavior and driving style in the urban scenario from field test data and driving style questionnaires (DSQs), a human-centric approach is adopted. The results of a correlation analysis demonstrate the dynamic interaction between drivers’ revealed behavior and stated driving style under different …

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Research On Evaluation Framework Of Coa Based On Wargaming, Haiyang Liu, Yubo Tang, Xiaofeng Hu, Guangpeng Qiao Jan 2019

Research On Evaluation Framework Of Coa Based On Wargaming, Haiyang Liu, Yubo Tang, Xiaofeng Hu, Guangpeng Qiao

Journal of System Simulation

Abstract: Aiming at the evaluation problem of COA (course of action) level indicators in joint operation, an evaluation framework of COA based on wargaming was proposed. By multidimensional analysis of wargaming data, an evaluation feature space was constructed from basic features generated by data cube models and SoS (system of systems) features based on complex network. Wargaming experiments were used to generate small batch metrics results of COA level indicators, and the corresponding result labels of evaluation feature space data were generated by data fitting method. Two-phase correlation analysis was used for dimensionality reduction of high dimensional evaluation features. …

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Research On Classification Based On Autoencoder Combination Features Extraction Method, Congcong Gu, Wang Yan, Dahu Yan, Zhicheng Ji Jan 2019

Research On Classification Based On Autoencoder Combination Features Extraction Method, Congcong Gu, Wang Yan, Dahu Yan, Zhicheng Ji

Journal of System Simulation

Abstract: For the problem that autoencoder can not obtain class information according to labels during the unsupervised training process, to improve the recognition accuracy, stacked class denoising autoencoder(SCDAE) is proposed to extract class information, and autoencoder combination features extraction method is adapted to extract combination features for classification. The method builds a stacked denoising autoencoder(SDAE) and a SCDAE. The method fine-tunes SDAE and SCDAE to form a combined model (CM). The combination features containing main information of the input data and class information are acquired through CM, and they are further used for classification. MNIST and USPS handwritten database are …

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Target Decision In Collaborative Air Combats Using Multi-Agent Particle Swarm Optimization, Yuewen Fu, Yuancheng Wang, Chen Zhen, Wenlan Fan Jan 2019

Target Decision In Collaborative Air Combats Using Multi-Agent Particle Swarm Optimization, Yuewen Fu, Yuancheng Wang, Chen Zhen, Wenlan Fan

Journal of System Simulation

Abstract: Under the research background of collaborative multi-aircraft and multi-target air combats, combined with the actual combat constraint conditions and the threat assessment functions on both sides, a collaborative air combat target decision simulation model is established for complex and changeable battlefield situations, which can reflect the priority of fire attack. To solve the decision scheme quickly and accurately, an improved multi-agent particle swarm optimization algorithm is proposed by introducing the interaction mechanism of the multi-agent theory into particle swarm optimization algorithm; and the neighborhood cooperation operator, mutation operator and self-learning operator for the agent are designed respectively. …

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Intelligent Technology Of Command And Control System In The Rts Perspective, Wenfeng Wu, Zhang Yu, Rong Ming Jan 2019

Intelligent Technology Of Command And Control System In The Rts Perspective, Wenfeng Wu, Zhang Yu, Rong Ming

Journal of System Simulation

Abstract: Real-Time Strategy (RTS) games have important reference value for studying the intelligent technology of command and control systems. The similarities between RTS games and the strategic battle level command and control systems are described according to the decision process. The challenges brought by the problems of planning, learning, uncertainty and space-time reasoning in the intelligent technology of RTS games are analyzed. The key technologies and latest research progress of action sequence planning, plan recognition, state assessment, multi-agent collaboration and multi-scale AI are studied. The trend of intelligent technology development of strategic and operational level command and control systems is …

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Ray-Casting Algorithm Based On Adaptive Compound Interpolation, Yanyang Zeng, Qingqing Pei, Baokun Li Jan 2019

Ray-Casting Algorithm Based On Adaptive Compound Interpolation, Yanyang Zeng, Qingqing Pei, Baokun Li

Journal of System Simulation

Abstract: The ray casting algorithm is widely used in volume rendering technology due to its mature algorithm and high imaging quality. To solve the problems of large amount of calculation and long rendering time caused by high-quality images, the problems of re-sampling point interpolation and time-consuming synthesis in the volume rendering process based on the traditional ray casting algorithm are studied, and an improved adaptive compound interpolation ray casting algorithm is proposed. According to the set threshold range, the size of the retreating sampling step is adjusted to select the interpolation sampling point and interpolation algorithm, and the re-sampling and …

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Application Of Virtual Trial Makeup Based On Video, Jiayuan Liu, Jinfang Li, Hanwu He Jan 2019

Application Of Virtual Trial Makeup Based On Video, Jiayuan Liu, Jinfang Li, Hanwu He

Journal of System Simulation

Abstract: To try different cosmetic products in a convenient and low cost way, a virtual make-up algorithm based on a plane mesh model is proposed. The feature points are extracted from the face in the video by the Harr cascade classifier and the Dlib library. A mask pattern is built on the different parts of the face dynamically according to the texture coordinates of the plane mesh model. Theory is used to control the display area of the main texture of the planar mesh model. The mapping relationship between the main texture and the feature point coordinates of the planar …

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Human Motion Simulation Based On Speech Recognition Control, Zhiwen Wang, Zihao Zhang, Yuxiang Jia, Wei Yi, Yanfei Shen Jan 2019

Human Motion Simulation Based On Speech Recognition Control, Zhiwen Wang, Zihao Zhang, Yuxiang Jia, Wei Yi, Yanfei Shen

Journal of System Simulation

Abstract: Human body motion simulation refers to real time rendering of human body and its motion in a computer. It is a computational model to simulate the natural and physical movement of human body under given constraints. Rendering a good human body movement can improve people's sense of immersion and substitution when watching. It is an inevitable premise of interaction between the viewer and the system. Based on the above theory, under the premise of using the rendering engine to ensure the quality of human motion rendering, it is further proposed to use the speech recognition engine to identify the …

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Design And Implementation Of Virtual Visual Simulation Platform For Maritime Wireless Transmission, Yuxuan Tong, Bin Lin, Hongxiang Ren, Tao Rui Jan 2019

Design And Implementation Of Virtual Visual Simulation Platform For Maritime Wireless Transmission, Yuxuan Tong, Bin Lin, Hongxiang Ren, Tao Rui

Journal of System Simulation

Abstract: Based on the actual demand of simulating wireless transmission on the sea, a simulation platform with stronger immersion and more real-time data is designed, which combines visual simulation technology and maritime wireless transmission to replace the traditional methods which just build mathematical charts and tables. The traditional channel models are improved and a connection among the free space path loss, reflection loss and so on is built. Different models aim to different communication bands for establishing a widely used transmission. Unity 3D game engine is used to recover a real scene and realize environment configuration and roles control. The …

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Improved Hybrid Bounding Box Collision Detection Algorithm, Wang Chao, Zhili Zhang, Long Yong, Shaodi Wang Jan 2019

Improved Hybrid Bounding Box Collision Detection Algorithm, Wang Chao, Zhili Zhang, Long Yong, Shaodi Wang

Journal of System Simulation

Abstract: For the construction of the oriented bounding box (OBB) takes a long time and the efficiency of the scene collision detection algorithm is not high, a fast-adaptive hybrid bounding box collision detection algorithm is proposed, which optimizes the bounding box of hierarchy and the way of storage. A large number of objects that cannot be intersected are excluded by means of the eight-tree space division and the rough detection of the sphere, and the exact intersecting test of the OBB can be made. The experimental result shows that compared with the OBB algorithm, the complexity of the bounding …

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Simulation Of Earthquake Disaster Affecting Field Direction Based On Mobile Phone Positioning Data, Xiaoyong Zhang, Xiao Di, Su Zhong, Jianghao Wang Jan 2019

Simulation Of Earthquake Disaster Affecting Field Direction Based On Mobile Phone Positioning Data, Xiaoyong Zhang, Xiao Di, Su Zhong, Jianghao Wang

Journal of System Simulation

Abstract: The direction of the earthquake disaster affected field determines the spatial distribution of the earthquake disaster scope, and further influences the post-disaster emergency command and decision. The 7.0 magnitude earthquake occurred at 2017-08-08T21:19:00 is taken as an example; the location data of the internet mobile phone before and after the earthquake area are used. The spatial distribution characteristics of the disappearing mobile phone location data and the orientation direction of the distributed discrete point sets are obtained by using the standard deviation ellipse model in the spatial econometric analysis. The direction of the earthquake disaster affected field is …

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Vector Control Of Pmsm Based On Sliding Mode Observer, Dinghui Wu, Deliang Yang, Jinbao Chen Jan 2019

Vector Control Of Pmsm Based On Sliding Mode Observer, Dinghui Wu, Deliang Yang, Jinbao Chen

Journal of System Simulation

Abstract: Aiming at the coupling problem of current loop in vector control permanent magnet synchronous motor, a complex vector decoupling control strategy based on sliding mode observer is proposed. Based on the traditional sliding mode observer, the introduction of Sigmoid as a switching function and variable sliding mode gain to reduce the high frequency chattering, followed by construction of complex vector PI current regulator, combined with the transfer function of zero pole configuration and stability theory, determine the parameters of PI regulator, the view of rotor position and speed sensor observation information into the complex vector PI current regulator decoupling …

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Visual Object Tracking Algorithm Based On Deep Denoising Autoencoder Over Rgb-D Data, Mingxin Jiang, Zhigeng Pan, Lanfang Wang, Taoxin Hu Jan 2019

Visual Object Tracking Algorithm Based On Deep Denoising Autoencoder Over Rgb-D Data, Mingxin Jiang, Zhigeng Pan, Lanfang Wang, Taoxin Hu

Journal of System Simulation

Abstract: A visual object tracking algorithm based on cross-modality features deep learning over RGB-D data is proposed. A sparse denoising autoencoder deep learning network is constructed, which can extract cross-modal features of the samples in RGB-D video data. The cross-modal features of the samples are input to the logistic regression classifier, the observation likelihood model is established according to the confidence score of the classifier, and the reasonable state transition model is established. The object tracking results over RGB-D data are obtained using particle filtering algorithm. Experimental results show that the proposed method has strong robustness to abnormal changes. …

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Bayesian Evaluation Method For Energy Efficiency Of Manufacturing System Based On Combined Weights, Dongfeng Cao, Wang Yan Jan 2019

Bayesian Evaluation Method For Energy Efficiency Of Manufacturing System Based On Combined Weights, Dongfeng Cao, Wang Yan

Journal of System Simulation

Abstract: The energy consumption of discrete manufacturing system presents many complex characteristics such as multi-source, multi-level and dynamic uncertainty, which make energy efficiency analysis and evaluation very difficult. The evaluation index system of energy efficiency of discrete manufacturing system is constructed from three aspects: manufacturing equipment, processing tasks and products. The improved Bayesian probability evaluation model is adopted for energy efficiency evaluation. In determining the weight link, the dynamic modified AHM method is combined with entropy weight method to make up the uncertainty of the structure and parameters of the Bayesian model, and to synthesize the subjective and objective two …

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Simulation Data-Driven Modeling Approach For Space Information Network, Yang Xing, Wu Jing, Jianguo Zhou, Jiang Hao, Zhu Jie Jan 2019

Simulation Data-Driven Modeling Approach For Space Information Network, Yang Xing, Wu Jing, Jianguo Zhou, Jiang Hao, Zhu Jie

Journal of System Simulation

Abstract: Aiming at the problem for the research on the simulation and modeling of the space information network (SIN) with high complexity, a SIN modeling approach based on simulation data is proposed. On this basis, a deep predictive auto-encoder network for SIN performance indicators and a hybrid forecasting analysis model with random forest regression are designed. Due to the characteristics of high dimensionality and wide distribution of SIN performance indicators, with using the deep learning auto-encoder network, the construction of SIN performance index is realized. Combined with the random forest regression model, the relationship model between the network design parameters …

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Modeling And Simulation Of C2 System For Intercepting Lss Targets, Zhipeng Zhang, Su Zhong Jan 2019

Modeling And Simulation Of C2 System For Intercepting Lss Targets, Zhipeng Zhang, Su Zhong

Journal of System Simulation

Abstract: For analyzing the characteristics of low slow small (LSS) targets, a model of command and control (C2) system is established, the corresponding strategy is designed, and the designed scenario is simulated, which can improve the interception effect of the system on LSS targets. In the part of modeling, the trajectory of the target is plotted, the radar information is analyzed, the coordinate transformation between the parts is designed, and the track fusion is designed, which can improve discovery process. As the different characteristics of LSS targets, combined with the limited resources for intercepting weapons, the threat assessment strategies and …

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Two-Sided Matching Decision Model Between Task And Resource For Cloud Fusion, Lijun Cheng, Wang Yan Jan 2019

Two-Sided Matching Decision Model Between Task And Resource For Cloud Fusion, Lijun Cheng, Wang Yan

Journal of System Simulation

Abstract: The disjointing of cloud task-to-resource matching link is a prominent problem in the cloud fusion process. Aiming at this problem, a cloud-based fusion task assignment model optimization method based on the improved knowledge migration maximum entropy clustering algorithm (KT-MECA) is proposed, in which the two-sided satisfaction of tasks and resources is considered. The algorithm improves the introduction of historical clustering center knowledge and membership degree knowledge, improves clustering performance and stability, and solves the problem that traditional clustering algorithms cannot be applied to dynamic cloud resource clustering. Considering the two-side subject satisfaction, the result of KT-MECA is applied to …

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Simulation Study On Control Performance Of Pmsm-Dtc Under Different Switching Tables, Haoyuan Luo, Dengke Yuan, Zongjie Hu Jan 2019

Simulation Study On Control Performance Of Pmsm-Dtc Under Different Switching Tables, Haoyuan Luo, Dengke Yuan, Zongjie Hu

Journal of System Simulation

Abstract: In the motion system of permanent magnet synchronous motor (PMSM) under direct torque control (DTC), the inverter produces high-frequency common-mode voltage (CMV) based on the switching table when outputting voltage vectors, and its double-closed-loop Bang-Bang control structure also causes current harmonic distortion and high-frequency ripple of the torque. A simulation model is established for PMSM motion system under DTC based on Matlab/Simulink using different switching tables, where performance and CMV between 7 vectors and 6 vectors switching tables are compared respectively. The results demonstrate that both have similar dynamic performance; relative to 6 vectors switching table, 7 vectors switching …

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12-Dimensional Zero Velocity State Updating Intelligent Algorithm For Pedestrian Dead Reckoning, Hengzhi Liu, Li Qing Jan 2019

12-Dimensional Zero Velocity State Updating Intelligent Algorithm For Pedestrian Dead Reckoning, Hengzhi Liu, Li Qing

Journal of System Simulation

Abstract: For wearable pedestrian strapdown inertial navigation and location devices, the different devices need different pedestrian dead reckoning (PDR) parameters, and the parameters are not such the optimal value that it affects the accuracy. A self-pedestrian navigation and location method based on the 12-dimensional zero-velocity state update intelligent algorithm is proposed, in which three dimensional errors of velocity, angular speed, location and geomagnetism are introduced as the system observations and an intelligent estimator which is formed by the support vector machine (SVM) and Kalman filter is established to estimate the system state error, and therefore the system accuracy is improved. …

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Designing A Self-Adaptive Fuzzy Pid Controller For Aircraft Cabin Temperature, Zongshuai Li, Sibo Zhang Jan 2019

Designing A Self-Adaptive Fuzzy Pid Controller For Aircraft Cabin Temperature, Zongshuai Li, Sibo Zhang

Journal of System Simulation

Abstract: The temperature control system is a highly nonlinear and uncertainty system, and using a conventional PID controller makes it difficult to achieve a good control effect. In this paper, a self-adaptive fuzzy PID controller is described. The model of controlled object is established by combining mechanism modeling with experiment. Aiming at the problem that the parameter range of the self-adaptive fuzzy PID controller varies greatly and is difficult to adjust, a new method is proposed which can easily provide a more reasonable fuzzy controller output variable range. The fuzzy rules based on experts’ experience and knowledge are adopted. The …

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