Design an Optimal Fuzzy PID Controller for Herbal Machine Harvester with Gripping-Belt Speed
Today fuzzy logic is used to solve various engineering issues. In this paper a novel approach for tuning the PID controller for Gripping-Belt of Herbal machine Harvester speed control is proposed. Designing the values of proportional, integral and derivative constants are divided into three stages one for each constant. The Optimal Fuzzy system identifies the constants at each stage. The Kp, Ki and Kd are set by the optimized fuzzy logic controller to improve the performance of rise time, peak overshoot, oscillation and the settling time. Gripping-belt for herbal machine harvester with the control issues were discussed, given the gripping-belt approximation model with a control system using Matlab/Simulink and Fuzzy Logic Toolbox software kit built with herbal medicine harvester holding a simulation model and controller. The control system of the conventional fuzzy control, PID control and optimal fuzzy self-tuning PID control simulation results show that the optimal fuzzy self-tuning PID control for better dynamic response to achieve the desired control effect.
KeywordsHerbal machine harvester Optimal fuzzy PID controller Simulation Speed control SQP algorithm
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