Robust Speed Control of PMSM Using Sliding Mode Control (SMC)—A Review

Abstract

Permanent magnet synchronous motors (PMSMs) are known as highly efficient motors and are slowly replacing induction motors in diverse industries. PMSM systems are nonlinear and consist of time-varying parameters with high-order complex dynamics. High performance applications of PMSMs require their speed controllers to provide a fast response, precise tracking, small overshoot and strong disturbance rejection ability. Sliding mode control (SMC) is well known as a robust control method for systems with parameter variations and external disturbances. This paper investigates the current status of implementation of sliding mode control speed control of PMSMs. Our aim is to highlight various designs of sliding surface and composite controller designs with SMC implementation, which purpose is to improve controller’s robustness and/or to reduce SMC chattering. SMC enhancement using fractional order sliding surface design is elaborated and verified by simulation results presented. Remarkable features as well as disadvantages of previous works are summarized. Ideas on possible future works are also discussed, which emphasize on current gaps in this area of research.

Field Oriented Control-Based Reduction of the Vibration and Power Consumption of a Blood Pump

“…The FOC algorithm requires the precise angular position of the rotor for performing the transformations (Clarke, Park, and inverse Park [34]). The most common sensorless technique with the FOC control is sliding mode observer [35,36]. In sliding mode observer, rotor position (and speed concurrently) is estimated from an estimated BEMF.…”

“…The sliding mode observer has been widely used in robust controllers due to being insensitive to the PMSM parameter variation and disturbance [36,38]. The two main challenges with the sliding mode observer are complete convergence to make the error zero, and chattering due to high frequency switching near the sliding surface [35]. The InstaSPIN FOC (Texas Instrument, Dallas, TX, USA) utilises a proprietary sensorless observer algorithm known as FAST (Texas Instrument, Dallas, TX, USA) to estimate the rotor position.…”

Adaptive sliding mode control for chain driving system with disturbance observer

“…To deal with all these uncertainties and disturbances, sliding mode control (SMC) is one of the most promising approaches due to its simplicity, fast response and strong robustness. 1–4 In the traditional SMC, the switching control law is utilized to ensure the existence condition of the sliding mode. However, the undesired chattering may exist in the control effort which is not desired in practical applications for it can lead to mechanical wear, control performance deterioration or even system unstable.…”

“…Moreover, the disturbance observer is utilized to counteract the mismatched disturbance in missile system and MAGnetic LEViation (MAGLEV) suspension system 21,22 and excellent simulation results are obtained. More details about the disturbance observer–based control can be found in previous works 4,23,24 and the references therein. Unfortunately, all these disturbance observer–based control methods are suitable only for constant or slow change disturbances.…”

The Advanced Control Approach based on SMC Design for the High-Fidelity Haptic Power Lever of a Small Hybrid Electric Aircraft

“…The sliding mode control (SMC) design approach may be utilized to improve robustness in feedback control considerably [89]. Thus, we can find numerous applications of sliding mode control in many areas, such as: control of a parallel robotic manipulator with uncertain dynamics [90], bilateral control of a hydraulic manipulator [91], control of a therapeutic exoskeleton [76], an electronically controlled power steering system [92], steer-by-wire systems [47], an automotive electronic throttle [93], robust speed control of PMSM [94], position control of a synchronous reluctance motor [95], a PEM fuel cell power system [96], etc. The basic SMC is characterized by a variable structure system and switching of the control input variable [97].…”