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Operations Research, Systems Engineering and Industrial Engineering
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Full-Text Articles in Computer Engineering
Chaos Control Of Permanent Magnet Synchronous Motor Based On Finite Time Lasalle Invariant Set, Zhang Yun, Wang Cong, Hongli Zhang, Ma Ping
Chaos Control Of Permanent Magnet Synchronous Motor Based On Finite Time Lasalle Invariant Set, Zhang Yun, Wang Cong, Hongli Zhang, Ma Ping
Journal of System Simulation
Abstract: In order to effectively restrain the chaotic behavior of permanent magnet synchronous motor, an adaptive controller is designed based on finite time theory and LaSalle invariant set theorem. The chaotic dynamics characteristics of the permanent magnet synchronous motor system are analyzed, and the parameter fields of the system in different motion states are determined. It is proved theoretically that the controller can stabilize to the equilibrium point in finite time and can automatically track the equilibrium point of the system. Simulation results show that the control scheme is concise, faster and more stable. The research results are of great …
Fractional Order Internal Model Control Of Pmsm Speed Servo System, Zhicheng Zhao, Sang Hai, Jinggang Zhang
Fractional Order Internal Model Control Of Pmsm Speed Servo System, Zhicheng Zhao, Sang Hai, Jinggang Zhang
Journal of System Simulation
Abstract: A design method of fractional order (FO) internal model controller for permanent magnet synchronous motor (PMSM) speed servo system was proposed. The simplified mathematical model of speed servo system was built. Based on internal model control (IMC) principle, the FO internal model controller was deduced by using the FO filter to replace the integer order one. The proposed controller contained only two adjustable parameters, and the defects of the fractional PIλDμ controller tuning method were effectively overcome. Moreover, the dominant pole was selected according to the time domain performance indicators of the system, and an analytical …
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 …
Fault Diagnosis Method Of Pmsm Based On Adaptive Dynamic Cat Swarm Optimization Of Svm, Wang Yan, Wang Xin, Zhicheng Ji, Dahu Yan
Fault Diagnosis Method Of Pmsm Based On Adaptive Dynamic Cat Swarm Optimization Of Svm, Wang Yan, Wang Xin, Zhicheng Ji, Dahu Yan
Journal of System Simulation
Abstract: In order to solve the problems of common inter-turn short circuit faults of permanent magnet synchronous motor (PMSM), a corresponding motor fault model based on the existing basis of PMSM is established. The eigenvector is extracted by energy spectrum analysis. The penalty factor and RBF-kernel parameter of SVM are optimized by adaptive dynamic cat swarm optimization (ADACSO) algorithm. The optimized SVM is adopted to motor fault diagnosis. The eigenvector obtained by energy spectrum analysis is taken as sample data to conduct simulation experiment. The experiment results indicate that, compared with other optimization algorithms, using ADACSO to optimize …
Fault Diagnosis Algorithm Of Permanent Magnet Synchronous Motor Based On Improved Elm, Wang Xin, Wang Yan, Zhicheng Ji
Fault Diagnosis Algorithm Of Permanent Magnet Synchronous Motor Based On Improved Elm, Wang Xin, Wang Yan, Zhicheng Ji
Journal of System Simulation
Abstract: In order to address the common problems of lacking of phase and interturn short circuit fault, after analyzing the basic and corresponding fault model of permanent magnet synchronous motor(PMSM), an improved extreme learning machine (IELM) algorithm was proposed based on self-adaptive second-order particle swarm optimization (SaSECPSO). SaSECPSO employed adaptive inertia weight and cognitive coefficient with linear variation to improve the convergence rate and accuracy of second-order particle swarm optimization (SECPSO). In addition, the recognition rate of extreme learning machine (ELM) when solving the fault model of PMSM could be significantly improved by using SaSECPSO to simultaneously optimize input weights …
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 …