Adaptive Inverse Control Method Based on SVM-Fuzzy Rules Acquisition System for Twin-Lift Spreader System

Abstract

AbstractThis paper proposes a new method of adaptive inverse control based on Support Vector Machine-Fuzzy Rules Acquisition System (SVM-FRAS) for twin-lift spreaders. In this control mechanism, an identifier is established based on SVM-FRAS, and an inverse controller based on SVM-FRAS is designed. The proposed adaptive inverse control method can automatically extract control rules from the process data. Comprehensibility is one of the required characteristics for a complex twin-lift spreader. We use the proposed SVM-FRAS-based adaptive inverse control method to obtain the rule-based process and the control model of the twin-lift spreader. Based on the simulation experiments for twin-lift spreaders, the SVM-FRAS adaptive inverse control method is found to be effective.KeywordsAdaptive inverse controlSupport vector machineFuzzy ruleTwin-lift spreaders