Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 9 of 9
Full-Text Articles in Engineering
Prediction Of Energy Efficiency Of Nc Machine Tools Based On Recursive Method With Discounted Measurements, Cai Lei, Wang Yan, Zhicheng Ji
Prediction Of Energy Efficiency Of Nc Machine Tools Based On Recursive Method With Discounted Measurements, Cai Lei, Wang Yan, Zhicheng Ji
Journal of System Simulation
Abstract: Aiming at the problem that the energy efficiency of numerical control machine tool is difficult to obtain directly, a new method combined with the recursive method with discounted measurements was presented to predict the energy efficiency of machine tool. The estimation model of the cutting power was given in view of the power balance equation of the machine tool main drive system and the additional load loss function, further taking into account the additional load loss coefficients in model could not be directly measured, the recursive method with discounted measurements was adopted to identify the additional load loss coefficients …
Grey Wolf Optimizer For Parameters Identification Of Induction Motor With Improved Model, Xiaoyi Lü, Huang Song, Wang Yan, Zhicheng Ji
Grey Wolf Optimizer For Parameters Identification Of Induction Motor With Improved Model, Xiaoyi Lü, Huang Song, Wang Yan, Zhicheng Ji
Journal of System Simulation
Abstract: According to the problems of inaccurate parameters estimation of the induction motor in high-performance control, a grey wolf optimizer was used to identify the parameters of the induction motor. Grey wolf optimizer is a new meta-heuristic. It is simple and flexible to implement, and has fewer parameters to tune. Considering that two typical dynamic mathematical models have different identification precision on different parameters, the improved identification model of the induction motor was proposed. Compared with typical model, simulation results show that the proposed model obviously improves the identification performance of resistances especially stator resistance, verifying the validity …
Novel Method To Identify Pmsm Parameters Based On Multiple Linear Regressive Models, Zhenwei Shi, Zhicheng Ji
Novel Method To Identify Pmsm Parameters Based On Multiple Linear Regressive Models, Zhenwei Shi, Zhicheng Ji
Journal of System Simulation
Abstract: A New Coupled Recursive Least Squares (C-FF-RLS) Algorithm with a forgetting factor was proposed for the Parameters Identification of Permanent Magnet Synchronous Motors (PMSMs). The deduced multiple linear regressive models of PMSM were proposed that were simple and appropriate for parameter identification. The C-FF-RLS identification algorithm had a high computational efficiency and a fast convergence speed because which Avoided the Matrix Inversion Operation in the Gain Matrix Compared with the Traditional Multivariable Recursive Least Squares (M-FF-RLS) Algorithm with a Forgetting Factor. The Proposed Identification Algorithm was applied on a simulation system of PMSM. The identification results achieved by …
Hybrid Quantum-Behaved Particle Swarm Optimization For Parameter Identification Of Dfig, Yingying Jiang, Zhicheng Ji
Hybrid Quantum-Behaved Particle Swarm Optimization For Parameter Identification Of Dfig, Yingying Jiang, Zhicheng Ji
Journal of System Simulation
Abstract: In order to ensure the accuracy of the doubly-fed wind power generator (DFIG) and improve the control performance of the generator, a hybrid quantum-behaved particle swarm optimization for parameter identification was proposed. A parameter identification model of DFIG at coordinate was established. Quantum-behaved particle swarm optimization (QPSO) was improved and then mixed with simulated annealing (SA) algorithm. The proposed algorithm was compared with particle swarm optimization (PSO), QPSO and improved QPSO, which were applied to parameter identification of DFIG in Matlab/Simulink. Simulation results show that the proposed algorithm can improve the identification accuracy of …
Integrated Dynamic Equivalent Model Of Super Capacitor Energy Storage System, Xinran Li, Tingting Xu, Shaojie Tan, Xingting Cheng, Xiaojun Zeng
Integrated Dynamic Equivalent Model Of Super Capacitor Energy Storage System, Xinran Li, Tingting Xu, Shaojie Tan, Xingting Cheng, Xiaojun Zeng
Journal of System Simulation
Abstract: As a high-power energy storage device, super capacitor (SC) is applied in micro-grid energy storage, secondary frequency regulation and peak load shifting in power system, and the research of which has become a hotspot. A second-order model of SC monomer suitable for the grid simulation was established, and the parameter identification using the charge and discharge experiment data under constant current and constant power modes was conducted based on genetic algorithm. A SC energy storage system has been set up in Simulink/Matlab based on the established second-order model of SC. The integrated dynamic equivalent model of SC energy storage …
Coral Reefs Optimization For Solving Parameter Identification In Permanent Magnet Synchronous Motor, Yawei Quan, Tian Na, Zhicheng Ji, Wang Yan
Coral Reefs Optimization For Solving Parameter Identification In Permanent Magnet Synchronous Motor, Yawei Quan, Tian Na, Zhicheng Ji, Wang Yan
Journal of System Simulation
Abstract: High accuracy identification of parameters in permanent magnet synchronous motor (PMSM) is the basis of controller design. According to the drawbacks of slow speed, big error, and small number of parameters in classical particle swarm optimization (PSO) and least square method, Coral Reefs Optimization (CRO) was proposed to solve the parameter identification problem in PMSM. In order to improve the identification accuracy, the parameter setting in CRO was adjusted. The mathematical model of PMSM in coordinate system was established, CRO, PSO and RLS were applied to identify parameters in PMSM, and were verified in Matlab/Simulink for comparison. The simulation …
Parameter Identification Method Based On Lagrangemultiplier And Measuring Residual Error, He Zhi, Zhicheng Nie, Yining Qin, Youping Fan
Parameter Identification Method Based On Lagrangemultiplier And Measuring Residual Error, He Zhi, Zhicheng Nie, Yining Qin, Youping Fan
Journal of System Simulation
Abstract: To satisfy the security and stability control, transient and steady state analysis of power system, it is necessary to ensure the accuracy of the estimated parameters. A method of parameter identification in power system based on Lagrange multiplier and measurement method of residualis proposed through analysis of measurement residuals. A two-step approach for parameter identification is introduced. Based on Lagrange multiplier method, using thestandardized Lagrange multiplier corresponding to the parameter error the parameters with errors can be judged by the size relative to the threshold and can bedetected and identified automatically. The residual vector of measurement redundancy is …
Study Of Im Parameter Identification Using Multi-Objective Particle Swarm Optimization With Proportional Guided Strategy, Huang Song, Tian Na, Wang Yan, Zhicheng Ji
Study Of Im Parameter Identification Using Multi-Objective Particle Swarm Optimization With Proportional Guided Strategy, Huang Song, Tian Na, Wang Yan, Zhicheng Ji
Journal of System Simulation
Abstract: A multi-parameter and multi-objective identification model of induction motor was established, and a multi-objective particle swarm optimization based on Pareto set and all personal-best positions guided strategy was proposed and applied to the identification model. Not considerring the weighted coefficient of each objective, Pareto set is able to avoid subjective choice of the coefficients of multi-objective identification and proportion strategy with all personal-best positions guided could balance the learning ability from personal-best positions and global-best position. Having verified the performance on Matlab/Simulink, the results show that the proposed algorithm is able to improve parameter identification accuracy, and has …
Permanent Magnet Synchronous Motor Parameter Identification Based On Improved Teaching-Learning-Based Optimization, Li Jie, Wang Yan, Zhicheng Ji
Permanent Magnet Synchronous Motor Parameter Identification Based On Improved Teaching-Learning-Based Optimization, Li Jie, Wang Yan, Zhicheng Ji
Journal of System Simulation
Abstract: High accuracy identification of parameters in permanent magnet synchronous motor (PMSM) is the basis of controller design. In order to overcome the shortages of traditional identification methods such as slow speed and low identification accuracy, an improved teaching-learning-based optimization algorithm (ITLBO) was proposed to identify the permanent magnet synchronous motor parameters. In the teaching phrase, tutorial teaching mechanism was introduced to strengthen teacher's capacity and improved the convergence rate of algorithm, in the learning phrase, the course stepwise learning was used to improve learners' learning efficiency. Besides, opposition-based-learning was introduced for small probability mutation, which enhanced the possibility out …