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Full-Text Articles in Engineering
Direct Parameter Identification Method For Steam Turbine And Its Governing System, Jingliang Zhong, Xiaolong Gou, Tongtian Deng
Direct Parameter Identification Method For Steam Turbine And Its Governing System, Jingliang Zhong, Xiaolong Gou, Tongtian Deng
Journal of System Simulation
Abstract: Since most of the traditional parameter identification methods used in the steam turbine and its governing system have the shortages of poor fitness, complicated identification process and long period, a novel identification method based on least square theory, called direct identification method, is proposed in this paper. Parameter to be identified can be obtained quickly and accurately through direct identification method if the identification process is transferred to solve nonlinear equation which represents the minimal error between simulated data and measured data. The identification results show that during identification process the proposed method has high identification efficiency, accurate identification …
Permanent Magnet Synchronous Motor Fuzzy Forgetting Factor Recursive Least Squares Parameter Identification, Yanxia Shen, Baolong Jin
Permanent Magnet Synchronous Motor Fuzzy Forgetting Factor Recursive Least Squares Parameter Identification, Yanxia Shen, Baolong Jin
Journal of System Simulation
Abstract: In order to improve the stability and convergence rate of permanent magnet synchronous motor (PMSM) on-line identification, this paper proposes a fuzzy forgetting factor least squares algorithm based on the least squares algorithm with forgetting factor. The linear regression model of permanent magnet synchronous motor is established by using the linearization technique of Pade approximation method. A fuzzy controller is designed by using the current error and the forgetting factor can be adjusted adaptively. The proposed method is applied to the field of on-line identification of permanent magnet synchronous motor stator resistance, which solves the contradiction between the result …
Parameter Identification Of Permanent Magnet Synchronous Motor Based On Mutation Coral Reef Algorithm, Dinghui Wu, Huang Xu, Yawei Quan, Zhicheng Ji
Parameter Identification Of Permanent Magnet Synchronous Motor Based On Mutation Coral Reef Algorithm, Dinghui Wu, Huang Xu, Yawei Quan, Zhicheng Ji
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 particle swarm optimization (PSO), least square method, and classical coral reefs optimization (CRO), an improved CRO with Cauchy and Gaussian mutation is proposed to solve the parameter identification problem in PMSM. The mathematical model of PMSM in dq coordinate system is established. The Cauchy and Gaussian mutation operator is introduced to CRO. Both of the two versions are applied for identifying parameters in PMSM, and are …
Pmsm Parameter Identification Using Teaching-Learning-Based Optimization With Levy Flight, Jinbao Chen, Li Jie, Wang Yan, Zhicheng Ji
Pmsm Parameter Identification Using Teaching-Learning-Based Optimization With Levy Flight, Jinbao Chen, Li Jie, Wang Yan, Zhicheng Ji
Journal of System Simulation
Abstract: High precision parameters are the key for permanent magnet synchronous motor to realize high performance control. To overcome the shortages of slow speed and low identification accuracy in traditional identification methods, a novel teaching-learning-based optimization algorithm with Levy flight is proposed to identify the PMSM parameters. The algorithm introduces adaptive teaching factor and self-learning strategy to improve the convergence speed. As for learning phase, a Levy flight stochastic process is introduced to improve the optimization strategy so that the algorithm can enhance the ability to keep the balance between exploration and exploitation. The simulation results show that the novel …
Parameter Identification For Pmsm Based On Multi-Innovation Approximate Least Absolute Deviation Identification Algorithm, Dinghui Wu, Jianyu Zhang, Yanxia Shen, Zhicheng Ji
Parameter Identification For Pmsm Based On Multi-Innovation Approximate Least Absolute Deviation Identification Algorithm, Dinghui Wu, Jianyu Zhang, Yanxia Shen, Zhicheng Ji
Journal of System Simulation
Abstract: In view of the problem that the results of traditional identification algorithm are not accurate caused by the peak noise signal in the environment, a new algorithm based on the forgetting factor multi-innovation approximate least absolute deviation (MIALAD) identification algorithm is proposed. Combined with the system voltage equation of permanent magnet synchronous motor (PMSM), a discrete identification model is constructed. By using vector control method, the input and output data of the identification model are obtained to identify the rotor resistance and inductance. The simulation results show that this identification algorithm can obtain the accurate parameters of the PMSM …