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

Abstract

This paper presents a nonlinear sliding mode control (SMC) scheme with a variable damping ratio for interior permanent magnet synchronous motors (IPMSMs). First, a nonlinear sliding surface whose parameters change continuously with time is designed. Actually, the proposed SMC has the ability to reduce the settling time without an overshoot by giving a low damping ratio at the initial time and a high damping ratio as the output reaches the desired setpoint. At the same time, it enables a fast convergence in finite time and eliminates the singularity problem with the upper bound of an uncertain term, which cannot be measured in practice, by using a simple adaptation law. To improve the efficiency of a system in the constant torque region, the control system incorporates the maximum torque per ampere (MTPA) algorithm. The stability of the nonlinear sliding surface is guaranteed by Lyapunov stability theory. Moreover, a simple sliding mode observer is used to estimate the load torque and system uncertainties. The effectiveness of the proposed nonlinear SMC scheme is verified using comparative experimental results of the linear SMC scheme when the speed reference and load torque change under system uncertainties. From these experimental results, the proposed nonlinear SMC method reveals a faster transient response, smaller steady-state speed error, and less sensitivity to system uncertainties than the linear SMC method.

Adaptive Gain Tuning Rule for Nonlinear Sliding-Mode Speed Control of Encoderless Three-Phase Permanent Magnet Assisted Synchronous Motor

“…The parameters m can be calculated like the calculation of B for the ultimate damping ratio ζ2. In addition, for the closedloop system stability, the matrix b should fulfill the condition (17). Moreover, for realizing the target damping ratio, the matrix b needs to fulfill (29).…”

Research on model identification and compound control of vibration mirror swing scan system

“…The control effect is obvious, so the control strategy has been widely used. [16][17][18][19] The advantage of fuzzy control technology is that it does not need to know complex and precise mathematical models, and only needs to realize control according to experience and rules. 20 Aiming at the problems of the above-mentioned vibration mirror swing scan system, a new sliding mode controller of fuzzy switching gain adjustment is designed by combining the advantages of both the sliding mode control strategy and the fuzzy control technology.…”

Weight‐transducerless control strategy based on active disturbance rejection theory for gearless elevator drives

“…Several key issues of gearless traction systems should be concerned in the control strategy: (i) riding comfort during startup; (ii) stability and security during the operation period; (iii) high efficiency and strong robustness [3][4][5]. Due to the advantages of high power density, high torque-to-inertia ratio, and high efficiency, the permanent magnet synchronous motor (PMSM) has been applied widely as the traction machine of the elevator [6][7][8]. In zero-servo process during which the elevator operates from start-by mode to running mode, the traction motor should generate a suitable electromagnetic torque immediately to balance the unknown and non-linear load torque exerted on the traction wheel.…”