Improving control quality of PMSM drive systems based on adaptive fuzzy sliding control method

Tran Duc Chuyen (University of Economics and Technology for Industries)
Roan Van Hoa (University of Economics and Technology for Industries)
Hoang Dinh Co (University of Economics and Technology for Industries)
Tran Thi Huong (University of Economics and Technology for Industries)
Pham Thi Thu Ha (University of Economics and Technology for Industries)
Bui Thi Hai Linh (Thai Nguyen University of Technology)
Tung Lam Nguyen (Hanoi University of Science and Technology)

International Journal of Power Electronics and Drive Systems (IJPEDS)
Vol 13, No 2: June 2022

In this paper, a solution to improve the precision in speed control for permanent magnet synchronous motors (PMSM) based on fuzzy adaptive sliding mode controller (FASMC) is proposed. In order to tackle the nonlinear tracking problem, continuously switching topologies are embedded. The designed algorithm and the closed electric drive system stability is examined by employing corresponding Lyapunov candidate functions. The results are numerically simulated and experimentally verified in the environment of MATLAB-Simulink, control Desk with dSPACE 1104 card, proving the applicability of the control algorithm which not only works well in simulations but also in practice for possible industrial traction drive applications.