Electric Power Steering System for Commercial Vehicles using Computational Intelligent Technique

Abstract

One crucial problem that needs fixing is the steering mechanism in automobiles. It would be simple and risk-free to have an effective steering system with the correct control. Fuzzy logic-based Type-2 control has the benefit of being able to effectively handle inputs, which are frequent in autonomous cars, as compared to other forms of controls. The stability of autonomous cars is provided in this work using an innovative technique for Type-2 Fuzzy Logic processing and Proportional Integral control. Three inputs are considered by the major system, a fuzzy logic Type 2 controls: speed, navigation, and distance. A guiding value is produced by the fuzzy system. Input for the supplementary PI control was provided through this.