An adaptive fuzzy sliding mode control of a permanent magnet linear synchronous motor for an inimical command velocity profile

Abstract

An adaptive fuzzy variable structure velocity controller of a permanent magnet linear synchronous motor (PMLSM) is designed for a command profile which has rapid change in a wide range. This is performed for comprehensive nonlinear model of PMLSM including non-idealities such as detent force, parameter uncertainty, unpredicted disturbance, and nonlinear friction. The proposed method is based on the adaptive sliding mode control (SMC) enhanced with a fuzzy inference to determine coefficients of the controller. The fuzzy block uses the desired and real velocity, and also its derivative as three inputs and a and C as outputs. A set of 343 rules come together to make a fuzzy rule base which brings a powerful controller with high resolution for different situations. As an evaluation criterion of the performance of the proposed method, a proportional - integral (PI) controller is designed whose parameters are optimally tuned by the particle Swarm Optimization (PSO) algorithm for better comparison.