Steady state analysis of modern industrial variable speed drive systems using controllers adjusted via grey wolf algorithm & particle swarm optimization

Safwan Nadweh; Ola Khaddam; Ghassan Hayeh; Bassan Atieh; Hassan Haes Alhelou

doi:10.1016/j.heliyon.2020.e05438

Steady state analysis of modern industrial variable speed drive systems using controllers adjusted via grey wolf algorithm & particle swarm optimization

Heliyon. 2020 Nov 8;6(11):e05438. doi: 10.1016/j.heliyon.2020.e05438. eCollection 2020 Nov.

Authors

Safwan Nadweh¹, Ola Khaddam¹, Ghassan Hayeh¹, Bassan Atieh², Hassan Haes Alhelou¹

Affiliations

¹ Electrical Power Engineering Department, Tishreen University, 2230 Lattakia, Syria.
² Mechatronics Engineering, Manara University, Lattakia, Syria.

Abstract

This paper presents the reconfiguration of control circuit designed to control four-quadrant chopper placed in the variable speed drive system (VSDS)'s DC-link. The purpose of this design is to reduce the overall total harmonic distortion THD% of input current, and the ripple factor (RF) of the DC-link current in this system. Both of Grey Wolf Algorithm (GWO) & Particle Swarm Optimization (PSO) have been used to get the optimal parameters of proportional integral PI and proportional integral differential with filter PIDN controllers. The variable speed drive system and the proposed filter have been modeled in integration with the suggested algorithms to determine the optimal values of the controllers' parameters. The grey wolf algorithm GWO outperformed the PSO algorithm in term of reaching the optimum parameters in less number of iterations in both dynamic and static work conditions. Also, the time response of the system with GWO is better than with PSO.

Keywords: Electrical engineering; Electrical system; Energy; Four quadrant chopper; Grey wolf optimization; Industrial engineering; Particle swarm optimization; Power quality; Variable speed drive system.