Sliding Mode Control of SPMSM Drivers: An Online Gain Tuning Approach with Unknown System Parameters

Abstract

This paper proposes an online gain tuning algorithm for a robust sliding mode speed controller of surface-mounted permanent magnet synchronous motor (SPMSM) drives. The proposed controller is constructed by a fuzzy neural network control (FNNC) term and a sliding mode control (SMC) term. Based on a fuzzy neural network, the first term is designed to approximate the nonlinear factors while the second term is used to stabilize the system dynamics by employing an online tuning rule. Therefore, unlike conventional speed controllers, the proposed control scheme does not require any knowledge of the system parameters. As a result, it is very robust to system parameter variations. The stability evaluation of the proposed control system is fully described based on the Lyapunov theory and related lemmas. For comparison purposes, a conventional sliding mode control (SMC) scheme is also tested under the same conditions as the proposed control method. It can be seen from the experimental results that the proposed SMC scheme exhibits better control performance (i.e., faster and more robust dynamic behavior, and a smaller steady-state error) than the conventional SMC method.

Virtual Inertia Control of D-PMSG Based on the Principle of Active Disturbance Rejection Control

“…As shown in (18), the frequency response of the WPIS containing D-PMSG can be simplified as a first-order system, and the fluctuations of wind speed and load in this system can be treated as the disturbance of the system.…”

“…The design of the active disturbance rejection virtual inertia controller is mainly based on the nonlinear system shown in (18). The nonlinear system control design is complicated while the linear system control design is relatively simple.…”

“…For the observation of the system disturbance, the state variable is firstly extended in the system shown in (18) to obtain the following expression: where α and δ are constants.…”

A Nonlinear Sliding Mode Controller for IPMSM Drives with an Adaptive Gain Tuning Rule

“…It can be seen that in order to guarantee the stability of the closed-loop system, the matrix P should satisfy the condition (16). In addition, to realize the desired damping ratio, the matrix P needs to satisfy (28).…”

“…In the sliding mode control of PMSMs, both an integral sliding surface [14] and a differential sliding surface [15] are used to improve the system performance. By introducing a boundary layer strategy [16], the chattering phenomenon can be reduced at the expense of the robustness against parameter uncertainties. Therefore, it is important to make a good compromise between the robustness and the chattering reduction.…”