Open AccessPID speed control of DC motor using meta-heuristic algorithms
Author(s) -
Bishwa Babu Acharya,
Sandeep Dhakal,
Aayush Bhattarai,
Nawraj Bhattarai
Publication year - 2021
Publication title -
international journal of power electronics and drive systems/international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
eISSN - 2722-2578
pISSN - 2722-256X
DOI - 10.11591/ijpeds.v12.i2.pp822-831
Subject(s) - pid controller , settling time , control theory (sociology) , overshoot (microwave communication) , particle swarm optimization , approximation error , fitness function , rise time , step response , matlab , computer science , minification , dc motor , mathematics , algorithm , voltage , mathematical optimization , engineering , control engineering , genetic algorithm , control (management) , temperature control , artificial intelligence , telecommunications , electrical engineering , operating system
This paper presents archimedes optimization algorithm(AOA) and dispersive flies optimization(DFO) to optimally tune gain parameters of PID control scheme in order to regulate DC motor’s speed. These suggested techniques tune the controller by the minimization of the fitness function represented by the integral of time multiplied by absolute error (ITAE). The modelling and simulation are carried out in MATLAB/Simulink. The transient response of unit step input obtained from AOA-PID-ITAE andDFO-PID-ITAE controllers were compared to those obtained from Ziegler-Nichols (ZN) method and particle swarm optimization(PSO). The results indicate that AOA-PID-ITAE and DFO-PID-ITAE are more efficient than ZN method and PSO in reducing rise time and settling time. Likewise, DFOconverge faster to the optimal solution with lower overshoot than AOA and PSO.