Predictive Control For Permanent Magnet Synchronous Motor Based On Imc Observer,
2019
School of Electrical and Control Engineering, Liaoning Technical University, Huludao 125105, China;
Predictive Control For Permanent Magnet Synchronous Motor Based On Imc Observer, Zhiling Ren, Zhongbao Zhang, Limin Hou, Guangquan Zhang, Lin Dong, Zhao Xing
Journal of System Simulation
Abstract: Predictive control strategy is applied to permanent magnet synchronous motor control system, it can achieve fast dynamic response and high-precision tracking control, but depending on the mathematical model of the motor, the load disturbance will affect the control performance of system. A new control method combining an observer based on internal model control (IMC) and predictive control was presented. The inner-loop current controller and the outer-loop speed controller based separately on model predictive control algorithm and deadbeat current predictive control algorithm were designed to form dual-loop predictive control system. An IMC observer is designed to estimate the load disturbance, …
Distribution Routing Optimization Of Fresh Agricultural Products Based On Road Conditions,
2019
College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou 450002, China;
Distribution Routing Optimization Of Fresh Agricultural Products Based On Road Conditions, Wang Heng, Yaxing Xu, Zhenfeng Wang, Tianpeng Zhou, Dechun Tian
Journal of System Simulation
Abstract: Reasonable arrangement of distribution route of fresh agricultural product can effectively guarantee the freshness of products, improve the distribution efficiency, and reduce the distribution cost. In practical distribution, the road condition is an important factor affecting the arrangement of the distribution route. According to the different road conditions, the speed characteristic models are set up. Meanwhile, considering the perishable and vulnerable characteristics of fresh agricultural products, the function of time window penalty cost and the function of customer satisfaction are established. Based on the comprehensive consideration of factors, such as road condition, time window and fresh consumption, a multi-objective …
Simulation Of Domestic Hot Water Using Behavior Of College Students Based On Group Characteristics,
2019
1. College of Civil Engineering, Hunan University, Changsha 410082, China; ;
Simulation Of Domestic Hot Water Using Behavior Of College Students Based On Group Characteristics, Zhou Jin, Xiaoping Yin, Xu Feng
Journal of System Simulation
Abstract: The use of domestic hot water is influenced by user’s gender and living habits, so the composition and behavior characteristics of user group have great influence on the design and operation control of domestic hot water system. The classification of hot water user group of college students was made by means of statistical analysis of original data, and the parameters related to the probability distributions of hot water use behavior were obtained. The simulation of domestic hot water using by college students was conducted and compared with the data generated from original recorded data, and the results show good …
Evaluation Of Green Smart Cities In China Based On Entropy Weight - Cloud Model,
2019
1. School of Management, Anhui Jianzhu University, Hefei 230601, China; ;
Evaluation Of Green Smart Cities In China Based On Entropy Weight - Cloud Model, Chen Li, Haixia Zhang
Journal of System Simulation
Abstract: Based on the research on green smart city at home and abroad; and aiming at the shortcomings and deficiencies of traditional evaluation methods, this paper proposes an evaluation method of combining entropy and cloud model based on the cloud model which can realize the conversion of qualitative concept and quantitative value. This method synthetically considers the subjective and objective factors; carries on the correlation analysis to the index; determines the set of evaluation indicators; uses the X-conditional cloud generator in cloud model to obtain the different levels of membership matrix corresponding to each evaluation object; and carries on the …
Image Feature Extraction And Online Grading Method For Weight And Shape Of Strawberry,
2019
1. Heat-sensitive Materials Processing Engineering Technology Research Center of Anhui, Chuzhou University, Chuzhou 239000, China; ;
Image Feature Extraction And Online Grading Method For Weight And Shape Of Strawberry, Zhang Qing, Xiangjun Zou, Guichao Lin, Yanhui Sun
Journal of System Simulation
Abstract: To deal with the classification problems of strawberry in production, a machine vision based strawberry weight and shape grading method was proposed. The strawberry image was segmented by thresholding to extract the fruit. The area and perimeter parameters of the fruit were then calculated and used to build the strawberry weight grading model through regression analysis. Elliptic Fourier descriptor was used to extract the shape features of the fruit, and these shape features were applied to train a support vector machine (SVM) which represented the strawberry shape grading model. 200 samples of strawberries were selected to test both …
Dp-Q(Λ): Real-Time Path Planning For Multi-Agent In Large-Scale Web3d Scene,
2019
School of Software Engineering, Shanghai 201804, China;
Dp-Q(Λ): Real-Time Path Planning For Multi-Agent In Large-Scale Web3d Scene, Fengting Yan, Jinyuan Jia
Journal of System Simulation
Abstract: The path planning of multi-agent in an unknown large-scale scene needs an efficient and stable algorithm, and needs to solve multi-agent collision avoidance problem, and then completes a real-time path planning in Web3D. To solve above problems, the DP-Q(λ) algorithm is proposed; and the direction constraints, high reward or punishment weight training methods are used to adjust the values of reward or punishment by using a probability p (0-1 random number). The value from reward or punishment determines its next step path planning strategy. If the next position is free, the agent could walk to it. The above strategy …
Design And Realization Of Ship Virtual Fire Training System Based On Hmd,
2019
1.School of Energy and Power Engineering, Wuhan University of Technology, Wuhan 430063, China; ;
Design And Realization Of Ship Virtual Fire Training System Based On Hmd, Zhang Bo, Sun Jun, Shang Lei, Hongji Xu, Yang Cheng
Journal of System Simulation
Abstract: Aiming at the shortcomings of ship fire training in real environment and the advantages and application of virtual reality technology in education and training, the virtual fire training system of ship based on head mount display (HMD) is developed. The system is developed using the Unity 3D Virtual Reality Development Engine as a platform, using client / server mode, supporting multi-person cooperative operation, and running the terminal for HTC Vive virtual reality hardware. The system combines the fire diffuser mechanism, the water shooting hydrodynamic equation and the particle system; completes the model establishment and visualization process, and improves …
Systematic Error Analysis Based On Hardware-In-The-Loop Simulation Environment,
2019
Xi’an Advanced Control Technologies Research Institute, Xi’an 710065, China;
Systematic Error Analysis Based On Hardware-In-The-Loop Simulation Environment, Zhang Duo, Manguo Liu, Zhang Xiao, Pingan Liu, Yixuan He
Journal of System Simulation
Abstract: Aiming at the complex and diverse components in the semi-physical simulation environment of a certain type of anti-tank missile, the errors present different types of problems, and a systematic error analysis method based on the environment is proposed. By analyzing the composition characteristics and the error characteristics of the simulation computer, flight motion simulator, target simulator and simulation dedicated interface; the delay error of the simulation computer, the mechanical installation error of the flight motion simulator, the delay error of the target simulator and the transmission error of the simulation dedicated interface are acquired. Furthermore, by comparing the local …
Design And Simulation Of Heterogeneous Magnetron Memristive Chua Circuit,
2019
School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China;
Design And Simulation Of Heterogeneous Magnetron Memristive Chua Circuit, Xiaohong Zhang, Lijuan Wan, Keliu Long
Journal of System Simulation
Abstract: A nonlinear circuit containing two heterogeneous magnetron memristors which based on the three-order classic Chua circuit is designed, its dimensionless fifth-order mathematical model is proposed. Due to the difference in the design of the characteristic equation of the two magnetron memristors, their positions form a symmetrical structure with respect to the capacitor. The existence of chaotic properties is proved by analyzing the stability of the system equilibrium point and Lyapunov exponents. The model of five-order heterogeneous memristive Chua system and two heterogeneous magnetron memristors are implemented by Multisim. Numerical calculation and experimental results show that heterogeneous magnetron memristive Chua …
Active Disturbance Rejection Sliding Mode Control For Time-Delay Systems,
2019
School of Automation Engineering, Qingdao University of Technology, Qingdao 266520, China;
Active Disturbance Rejection Sliding Mode Control For Time-Delay Systems, Suzhen Wang, Guofa Sun, Shengrong Liu
Journal of System Simulation
Abstract: Aiming at the time-delay systems with uncertainty, this paper designs a third-order nonlinear feedback extended state observer (ESO) by using the coordinate transformation. The ESO can estimate both the system states and the total disturbance signal, and the nonlinear feedback has fast convergence. By the first-order approximation of the time-delay, the output feedback control problem of the time-delay system is transformed into controlling the second-order nonlinear uncertain system with unknown function. On the basis of the tracking differentiator (TD) and the designed ESO, the second-order sliding mode controller (SMC) is designed to realize the fast and accurate tracking …
Process Simulation And Optimization On Giant Block Erection Of Longitudinal Staggered Arrangement,
2019
1.Institute of Intelligent Manufacturing and Information Engineering, Shanghai Jiaotong University, Shanghai 200240, China; ;
Process Simulation And Optimization On Giant Block Erection Of Longitudinal Staggered Arrangement, Wenmin Zhu, Minghua Zhu, Xiumin Fan
Journal of System Simulation
Abstract: The process of giant block erection of longitudinal staggered arrangement is complicated. If the design of process and tooling are not reasonable, the adjustment work in the construction site, which affects the shipbuilding cycle seriously, will be abundant. To solve these problems, the method of process simulation and optimization on giant block erection were researched. Simulation models were established for carrying out the process simulation, and the simulation process was detected in real time by establishing collision detection model and virtual human model. Based on the measured data of the ship hull, the automatic calculation method of raising height …
Robust Adaptive Rate Control Algorithm And Its Simulation For P2p-Tv Streaming Media Systems,
2019
School of Information, Liaoning University, Shenyang 110036, China;
Robust Adaptive Rate Control Algorithm And Its Simulation For P2p-Tv Streaming Media Systems, Fengjie Yin, Yang Hui, Zhang Ying
Journal of System Simulation
Abstract: A control algorithm proposed to control the upstream rate based on sliding mode control in P2P-TV streaming media node. Through the rational design of sliding mode controller, the algorithm can adaptively control the numbers of signaling threads between neighbor pairs connected simultaneously and then control the upload rate. Further, it can achieve the fair use of resources. Due to the sliding mode control has strong robust with modeling uncertainties, time varying parameter fluctuations and external disturbances, it can avoid the system congestion under network condition change. Simulation results demonstrate that it can lead to the convergence of the …
Modeling And Simulation Of Health Degradation Trend For Wind Turbine Bearing,
2019
1. School of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China; ;
Modeling And Simulation Of Health Degradation Trend For Wind Turbine Bearing, Xinghui Dong, Xiaoshuang Ma, Youxing Cheng, Wang Shuai
Journal of System Simulation
Abstract: By taking a wind turbine bearing as research object, the model of bearing temperature health’s degradation trend is established through using least squares surface fitting and the monitored parameters from Supervisory Control And Data Acquisition (SCADA). Bearings’ degradation trend with unsteady characteristics is decomposed by modified Ensemble Empirical Mode Decomposition(EEMD) to obtain several relatively steady components. Components are predicted respectively by time series neural network and the predicted results of all the components are added to obtain final prediction result. Comprehensive simulations and comparisons show that the proposed method can predict the health degradation trend of wind turbine bearings …
Soil Data Construction Method For Cross-Country Trafficability Analysis,
2019
Institute of Surveying and Mapping, Information Engineering University, Zhengzhou 450052, China;
Soil Data Construction Method For Cross-Country Trafficability Analysis, Kunwei Li, You Xiong, Zhang Xin, Fen Tang
Journal of System Simulation
Abstract: Soil is one of the most important factors influencing the off-road maneuver of the army. The combination of soil and weather factors makes cross-country trafficability analysis extremely complicated. The soil data from unified soil classification system (USCS) are the basis for the analysis of soil trafficability. In this paper, the random forest method is used to predict the type of soil by using various attribute information. The method extracts sample data from existing USCS soil data to construct multiple random forest models, then analyses the accuracy of random forests and the importance of characteristic variables, and finally uses the …
Improving Efficiency Of Manufacturing Cells,
2019
Western Michigan University
Improving Efficiency Of Manufacturing Cells, Conner Deneen
Honors Theses
Mann + Hummel is a tier one automotive supplier located in Portage, Michigan. The industry sponsor for this project is Director of Operations, Dan Kempisty with his supporting team, and the academic advisor for this project is Industrial Engineering Professor, Dana Hammond. The following report focuses on improving the efficiency of Cell 301 A and Cell 301 B which manufactures the air intake manifold for the Toyota Camry and Highlander. Topics analyzed in attempts to improve efficiencies include the following; standard operating procedures, line balancing, improving quality, reducing scrap, and analyzing non-value-added tasks. Time studies were conducted on each operator …
Emergency Department Triage Process Improvement,
2019
Western Michigan University
Emergency Department Triage Process Improvement, Tessa Williams
Honors Theses
This senior design project was completed at Ascension Borgess Hospital located in Kalamazoo, Michigan. The mission of Ascension Borgess Hospital is to provide patient centered care. In 2018, 562 patients left the Emergency Department (ED) without being seen, which is a large safety risk for the patients and hospital. Based on this, as well as other obstacles, this project focused on meeting the mission of Ascension Borgess by improving key ED metrics that impact patient centered care. In order to meet that mission, this study aims to improve patient experience, safety and quality of the care provided, profitability for the …
Integrated: A Student's Guide To Systems Engineering,
2019
University of Alabama in Huntsville
Integrated: A Student's Guide To Systems Engineering, Hannah Smith
Research Horizons Day Posters
No abstract provided.
Essays On Time Series And Machine Learning Techniques For Risk Management,
2019
University of South Florida
Essays On Time Series And Machine Learning Techniques For Risk Management, Michael Kotarinos
USF Tampa Graduate Theses and Dissertations
The Capital Asset Pricing Model combined with the Sharpe ratio is a standard method for choosing assets for selection in a portfolio. However, this method has many structural issues and was designed for a time when high dimensional computing was in its infancy. An alternative to these methods using a mix of Multi-Level Time Series Clustering, the MACBETH algorithm and traditional time series techniques was constructed that minimized data loss and allow for customized portfolio construction for investors with different risk profiles and specialized investment needs. It was shown that these methods are adaptable to cloud computing environments and allow …
Routing And Designing Networks For Two Transportation Problems,
2019
University of South Florida
Routing And Designing Networks For Two Transportation Problems, Liu Su
USF Tampa Graduate Theses and Dissertations
Routing and designing are essential for transportation networks. With effective routing and designing policies, transportation networks can work safely and efficiently. There are two transportation problems: hazardous materials (hazmat) transportation and warehouse logistics. This dissertation addresses the routing of networks for both problems. For hazmat transportation, the routing can be regulated via network design. Due to catastrophic consequences of potential accidents in hazmat transportation, a risk-averse approach for routing is necessary. In this dissertation, we consider spectral risk measures, for risk-averse hazmat routing. In addition, we introduce a network design problem to select a set of closed road segments for …
A Tunable Triboelectric Wideband Energy Harvester,
2019
Binghamton University--SUNY
A Tunable Triboelectric Wideband Energy Harvester, Daniel S. Nelson, Alwathiqbellah Ibrahim, Shahrzad Towfighian
Systems Science and Industrial Engineering Faculty Scholarship
The ability to efficiently convert mechanical energy into electrical energy has become an important topic of discussion and research in the last decade. Triboelectric generators have recently been popular for vibration energy harvesting, but despite plenty of research on its material aspect, research on combining mechanical characteristics and voltage generation output has been sparse. Many energy harvesters suffer from low operating bandwidths and are usually restricted to operating at a specific frequency. We propose a tunable triboelectric energy harvester that has a large response over a wide frequency bandwidth at low frequencies. The tunability is implemented by axially pre-loading a …
