GA PID control research in inverter motor speed governing system

Article type: Research Article

Authors: Wang, Sha^* | Liang, Hua | Wang, Jing

Affiliations: School of Information Science and Engineering, Hunan International Economics, Changsha, Hunan, China

Correspondence: [*] Corresponding author: Sha Wang, School of Information Science and Engineering, Hunan International Economics, Changsha, Hunan, China. E-mail: [email protected].

Abstract: The variable frequency pump controlled motor speed control system was presented based on genetic algorithm of PID parameter optimization method. The simulation results proved that the genetic arithmetic method after optimization of PID controller has better control characteristic than the conventional PID controller, it showed stronger adaptation and robustness for the model mismatch and the load disturbance, it fit with slow time-varying and load disturbances of inverter control of pump controlled motor speed regulating system. Using genetic algorithm was also pointed out the limitations of PID parameters of optimal variable frequency pump control motor speed regulating system.

Keywords: Variable frequency pump motor control, speed control system, genetic algorithm, optimization, PID control

DOI: 10.3233/JCM-180869

Journal: Journal of Computational Methods in Sciences and Engineering, vol. 19, no. 2, pp. 299-306, 2019