Parameter Estimation for PMSM based on a Back Propagation Neural Network Optimized by Chaotic Artificial Fish Swarm Algorithm
| Autor: | Shilang Zhu, Jiang Jianwu, Tao Peng, Zhi Chen, Wang Yihuai, Lianmin Shi |
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| Rok vydání: | 2020 |
| Předmět: |
Computer Networks and Communications
Computer science business.industry Estimation theory Chaotic 020206 networking & telecommunications 02 engineering and technology Computer Science Applications Computational Theory and Mathematics Convergence (routing) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Local search (optimization) Sensitivity (control systems) business Global optimization Algorithm Premature convergence Network model |
| Zdroj: | INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL. 14:615 |
| ISSN: | 1841-9844 1841-9836 |
| DOI: | 10.15837/ijccc.2019.6.3705 |
| Popis: | Permanent Magnet Synchronous Motor(PMSM) control system with strong nonlinearity makes it difficult to accurately identify motor parameters such as stator winding, dq axis inductance, and rotor flux linkage. Aiming at the premature convergence of traditional Back Propagation Neural Network(BPNN) in PMSM motor parameter identification, a new method of PMSM motor parameter identification is proposed. It uses Chaotic Artificial Fish Swarm Algorithm(CAFSA) to optimize the initial weights and thresholds of BPNN, and then strengthens training by BPNN algorithm. Thus, the global optimal network parameters are obtained by using the global optimization of CAFSA and the local search ability of BPNN. The simulation results and experimental data show that the initial value sensitivity of the network model optimized by CAFS-BPNN Algorithm is weak, the parameter setting is robust, and the system stability is good under complex conditions. Compared with other intelligent algorithms, such as RSL and PSO, CAFS-BPNNA has high identification accuracy and fast convergence speed for PMSM motor parameters. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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