Decoupling Control of Permanent Magnet Synchronous Motor With Support Vector Regression Inverse System Method

Inverse system method is effective for controlling permanent magnet synchronous motor (PMSM). A novel support vector regression(SVR) inverse system method is proposed to realize decoupling control of PMSM in the article. Firstly, kernel space feature of the inverse model is optimized by using the prior information provided by the mathematical model of analytical inverse system to build two accurate SVR inverse models, which can solve the unreasonable kernel space feature when conventional SVR algorithm is employed to model PMSM inverse system. Then, the inverse system composing of two inverse models is cascaded with the original system to decouple PMSM system into two pseudo-linear subsystems. Finally, PID controller is employed to form a closed-loop control system. The simulation and experiment results show that the proposed method improves the generalization ability of inverse model and achieves high-performance control of PMSM.