Adaptive Control Strategy for Speed Tracking Control with Parameters Identification for Mechanical Elastic Energy Storage System
Zheng Xiaoming1, Mi Zengqiang1, Yu Yang1, Lu Jianbin1, Sun Chenjun2
1.State Key Laboratory of Alternate Electrical Power System with Renewable Energy Source mNorth China Electric Power University Baoding 071003 China;
2. State Grid Hebei Electric Power Company Shijiazhuang 050022 China
The mechanical elastic energy storage system completes the energy storage process through the permanent magnet synchronous motor (PMSM) driving the energy storage box that contains the large plane scroll spring. The operation characteristics of the boxes are complex, and a robust control algorithm is needed to ensure safe and efficient operation of the system. To solve this problem, an adaptive backstepping control algorithm with FFRLS parameter identification is designed and applied to the speed tracking control of mechanical elastic energy storage system. Through constructing a special Lyapunov function, an adaptive backstepping control algorithm of torque inversion inertia is designed on the vector control model of permanent magnet synchronous motor. At the same time, online identification of the key parameters of the motor increases the control precision of the system, which ensures the energy storage efficiency. The simulation and experimental results show that the control scheme is suitable for special occasions of mechanical elastic energy storage, which lays a foundation for its further extension and application.
郑晓明, 米增强, 余洋, 卢建斌, 孙辰军. 机械弹性储能参数辨识自适应调速控制[J]. 电工技术学报, 2018, 33(24): 5768-5778.
Zheng Xiaoming, Mi Zengqiang, Yu Yang, Lu Jianbin, Sun Chenjun. Adaptive Control Strategy for Speed Tracking Control with Parameters Identification for Mechanical Elastic Energy Storage System. Transactions of China Electrotechnical Society, 2018, 33(24): 5768-5778.
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