Model-Free Hybrid Control with Intelligent Proportional Integral and Super-Twisting Sliding Mode Control of PMSM Drives

Abstract

In this research, based on the ultra-local model, a novel compound model-free control strategy with an intelligent Proportional-Integral and super-twisting Sliding Mode Control (MFiPISTSMC) strategy for permanent magnet synchronous motor (PMSM) drives is proposed. Firstly, an intelligent Proportional-Integral (iPI) control strategy is designed for motor speed regulation. Secondly, a super-twisting Sliding Mode Control (STSMC) strategy is constructed based on the ultra-local model of PMSM. At the same time, the unknown term of the ultra-local model of PMSM is estimated by a Linear Extended State Observer (LESO). The stability of the compound MFiPISTSMC strategy is proved by the Lyapunov stability theorem. As a result of the compound MFiPISTSMC strategy integrating the STSMC strategy, the iPI control strategy and the LESO is proposed to have excellent performance. Finally, the static characteristic, dynamic characteristic and robustness of the novel compound MFiPISTSMC strategy are verified by simulation and experimental results.

Improved Rotor Flux and Torque Control Based on the Third-Order Sliding Mode Scheme Applied to the Asynchronous Generator for the Single-Rotor Wind Turbine

“…It also has a better ability to reduce the ripples of torque and magnetic flux. Several works on the SMC technique for the control of an alternating current (AC) machine are available in the literature, which analyzes and discusses its disadvantages and advantages [13][14][15][16][17][18][19]. In [13], the SMC provided better results compared to the traditional proportional-integral (PI) controller.…”

High-Performance Tracking for Piezoelectric Actuators Using Super-Twisting Algorithm Based on Artificial Neural Networks

“…A vector transformation can be assumed based on References [70,[89][90][91], with its following derivative in Equations ( 27) and (28).…”

“…A shallow introduction about the background of research done by the scientific community in ANNs for nonlinear mapping is presented in the following sections. A PID was used for results comparison as it has been commonly utilized for these correlations in literature [68][69][70].…”

Model-Free Control Using Improved Smoothing Extended State Observer and Super-Twisting Nonlinear Sliding Mode Control for PMSM Drives

“…The sliding mode controller (SMC) strategy has become an important research branch in the field of automatic control. During the past few decades, various SMC strategies have been widely used in the PMSM speed control system such as fractional order SMC [11,12], integral SMC [13], fuzzy SMC [14,15], high-order SMC [16] and non-singular terminal SMC [17]. As a high-order SMC algorithm, the super-twisting (ST) structure has been widely studied by many scholars.…”