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

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.

[1]  Mete Kalyoncu,et al.  Optimal Tuning of PID Controller Using Grey Wolf Optimizer Algorithm for Quadruped Robot , 2018 .

[2]  R. Steele.  Optimization , 2005 .

[3]  H. Haes Alhelou,et al.  Time response enhancement for variable speed drive systems by using five-level cascade four quadrant chopper in dc-link , 2020, Heliyon.

[5]  Rohit G. Kanojiya,et al.  Optimal tuning of PI controller for speed control of DC motor drive using particle swarm optimization , 2012, 2012 International Conference on Advances in Power Conversion and Energy Technologies (APCET).

[6]  Tsuyoshi Murata,et al.  {m , 1934, ACML.

[7]  Jun Zhang,et al.  A Novel Set-Based Particle Swarm Optimization Method for Discrete Optimization Problems , 2010, IEEE Transactions on Evolutionary Computation.

[8]  James Kennedy,et al.  Defining a Standard for Particle Swarm Optimization , 2007, 2007 IEEE Swarm Intelligence Symposium.

[9]  Eduardo José Solteiro Pires,et al.  Grey wolf optimization for PID controller design with prescribed robustness margins , 2016, Soft Comput..

[10]  B. J. Rabi,et al.  A review and study of harmonic mitigation techniques , 2012, 2012 International Conference on Emerging Trends in Electrical Engineering and Energy Management (ICETEEEM).

[11]  Jorge O. Estima,et al.  Performance Evaluation of Three Variable Speed AC Motor Drives Under Different Load Profiles , 2018, 2018 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM).

[12]  Andrew Lewis,et al.  Grey Wolf Optimizer , 2014, Adv. Eng. Softw..

[13]  Chih‐Hong Lin.  Altered Grey Wolf Optimization and Taguchi Method with FEA for Six-Phase Copper Squirrel Cage Rotor Induction Motor Design , 2020 .

[14]  Todd R. Kelley.  Optimization, an Important Stage of Engineering Design. , 2010 .

[15]  Marcin Szewczyk,et al.  Variable Speed Drive (VSD) – towards modern industry and electric power systems , 2016 .

[16]  Alexandru Bitoleanu,et al.  Fuzzy speed control in drive systems with voltage inverters and induction motors , 2019, 2019 6th International Symposium on Electrical and Electronics Engineering (ISEEE).

[17]  Jianing Zhao,et al.  Operating characteristics of the variable frequency speed-regulating system for a single pump in a closed system , 2017 .

[18]  S. Vyas,et al.  HARMONIC ELIMINATION IN THREE PHASE SYSTEM BY MEANS OF A SHUNT ACTIVE FILTER , 2018 .

[19]  B. S. Rajpurohit,et al.  Power quality enhancement at PCC for PMSM based adjustable speed drive load , 2017, 2017 7th International Conference on Power Systems (ICPS).

[20]  Wei Chen,et al.  Parameter estimation of PEM fuel cells employing the hybrid grey wolf optimization method , 2020 .

[21]  James Kennedy,et al.  Dynamic-probabilistic particle swarms , 2005, GECCO '05.

[22]  Maurice Clerc,et al.  Standard Particle Swarm Optimisation , 2012 .

[23]  Zbigniew Michalewicz,et al.  Particle Swarm Optimization for Single Objective Continuous Space Problems: A Review , 2017, Evolutionary Computation.

[24]  Hassan Haes Alhelou,et al.  Using Four – Quadrant Chopper with Variable Speed Drive System Dc-Link to Improve the Quality of Supplied Power for Industrial Facilities , 2019 .

[25]  Diptanu Das,et al.  Optimal tuning of PID controller using GWO algorithm for speed control in DC motor , 2015, 2015 International Conference on Soft Computing Techniques and Implementations (ICSCTI).

[26]  A. Rezaee Jordehi,et al.  Parameter selection in particle swarm optimisation: a survey , 2013, J. Exp. Theor. Artif. Intell..

[27]  Safwan Nadweh,et al.  Optimization of P& PI controller parameters for variable speed drive systems using a flower pollination algorithm , 2020, Heliyon.