Optimized PID Controller Parameters Tuning Using Teaching Learning Based Optimization Algorithm For Controlling Actuator Position

Abdullah, Hatzrill Moestaqim (2018) Optimized PID Controller Parameters Tuning Using Teaching Learning Based Optimization Algorithm For Controlling Actuator Position. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

An actuator is one of the most commonly used system in industries and home appliances.Many industries used them because it helps them to make their work easier.The actuator system is used in robot and also used to lift a tan of a load.Therefore,handling and controlling the actuator need a specific knowledge and a suitable controller.This project presents the study of tuning a Proportional Integral Derivative controller in tuning Proportional Integral Derivative parameters for simulation.A Proportional Integral Derivative controller designed by optimization with the Teaching Learning Based Optimization algorithm is proposed.This project utilized by MATLAB Simulink software in showing the outputs of this project.Proportional Integral Derivative parameters and best fitness and teacher fitness value are recorded. Sum Square Error was used for this simulation.It was observed that the tuned Proportional Integral Derivative controller by Teaching Learning Based Optimization on this paper give a satisfying result as the output is quite stable.

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