Variable Structure Control Design Based on Differential Evolution Optimization with New Sinosoidal Gaussian Operator

This paper considers the non-linear control of industrial processes based on self-tuning discrete variable structure control (VSC) technique. A novel and systematic VSC design methodology is proposed, which integrates an estimator based on recursive least square algorithm, a discrete quasi-sliding surface and a optimization method. Contrary to the trial and error selection of the variable structure feeedback gains reported in the literature, the selection in present work is done using differential evolution (DE) optimization with a new sinusoidal Gaussian operator.The proposed design has been applied to a control valve described by a non-linear Wiener model. Numerical simulation results reveal that the new DE approach is applicable and promising for the VSC design.