DOI: https://doi.org/10.14710/ijred.9.1.69-76

Design and Speed Control of SynRM using Cascade PID Controller with PSO Algorithm

1Department of Electrical Electronic Engineering, Thi-Qar University, Iraq

2Department of Electrical and Electronics Engineering, Aksaray University, Turkey

Received: 16 Oct 2019; Revised: 7 Jan 2020; Accepted: 5 Feb 2020; Available online: 15 Feb 2020; Published: 18 Feb 2020.
Editor(s): H Hadiyanto

Citation Format:
Abstract
In recent years, the variable speed motor drive is supported over a fixed speed motor drive as per essentialness safeguarding, speed or position control and improvement of transient response characteristics. The aim of any speed controller is to take main signal that represent the reference speed and to drive the framework at that reference speed. This paper exhibits the design, simulation and control of synchronous reluctance motor (SynRM). In addition, the motor speed is controlled by utilizing a conventional PID controller that has been used from the cascaded structure. The Particle Swarm Optimization (PSO) was used to find the best parameters of the PID controller. Lead-Lag controller presents from the cascaded controller as the following period of control. The Space vector pulse width modulation (SVPWM) plot has been proposed to control the motor and make the motor work with no rotor confine contingent upon the info parameters that utilization in the simulation. An examination between both of PID tuned and PSO tuned controller affirms that the PSO gives dazzling control highlights to the motor speed and have an edge over the physically changing controller. Thus, this paper present investigation and simulation for the most precise procedures to control the speed reaction and torque reaction of synchronous reluctance motor (SynRM).©2020. CBIORE-IJRED. All rights reserved
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Keywords: SynRM; PID; Cascade Controller; PSO; SVPWM; Matlab Environment

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Section: Original Research Article
Language : EN
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  1. Adlya, A.A. and Huzayyin A. (2019). The impact of demagnetization on the feasibility of permanent magnet synchronous motors in industry applications. Journal of Advanced Research, 17, 103-108
  2. Bayındır, R. and Vadi, S. (2017). A Web-Based Educational Tool for Simulation of Reactive Power Compensation with Synchronous Motor. Journal of Polytechnic, 20(1),61-69
  3. Alkhafaji, M.A. and Uzun, Y. (2018). Design, simulation and analysis of synchronous reluctance motor. The International conference on innovative research in Science Engineering & Technology (IRSET), Belgrade, Serbia
  4. Bouloukza, I., Mordjaoui, M., Kurt, E., Bal, G. and Ökmen, C. (2018). Electromagnetic design of a new radial flux permanent magnet motor. Journal of Energy Systems, 2(1), 13-27
  5. Consoli, A., Russo, F., Scarcella, G. and Testa, A. (1999).Low- and Zero-Speed Sensorless Control of Synchronous Reluctance Motors. IEEE Transactions on Industry Applications, 35 (5), 1050-57
  6. Effatnejad, R., Bagheri, S., Farsijani, M., & Talebi, R. (2013). Economic Dispatch with Particle Swarm Optimization and Optimal Power Flow. International Journal on Technical and Physical Problems of Engineering (IJTPE), 5(14): 9-16.‏
  7. Fellani, M.A., and Abaid, D.E. (2010) Matlab/Simulink-Based Transient Stability Analysis of a Sensorless Synchronous Reluctance Motor. World Academy of Science, Engineering and Technology International Journal of Electrical and Computer Engineering, 4(8), 1230–34
  8. Fellani, M. A. and Abaid D.A. (2010) Matlab / Simulink-Based Transient Stability Analysis of a Sensorless Synchronous Reluctance Motor, 4(8), 1364–68
  9. Fellani, M. A. and Abaid, D.E. (2013). Modeling and Simulation of Reluctance Motor Using Digital Computer. International Journal of Computer Science and Electronics Engineering 1(2),148–52
  10. Fratta, A., & Vagati, A. (1992). A reluctance motor drive for high dynamic performance application. IEEE Transactions on Industry Applications, 28(4), 873-879.‏
  11. Gupta, A., & Kumar, S. (2012). Analysis of Three Phase Space Vector PWM Voltage Source Inverter for ASD’s. International Journal of Emerging Technology and Advanced Engineering, 2(10), 163-168.‏
  12. Hansen, A.D. and Michalke, G. (2008) Modelling and Control of Variable-speed Multi-pole Permanent Magnet Synchronous Generator Wind Turbine, Wind Energy, 11, 537–554
  13. Huang, H. P., Jeng, J. C., Chiang, C. H., & Pan, W. (2003). A direct method for multi-loop PI/PID controller design. Journal of process control, 13(8), 769-786.‏
  14. Kumar, K. V., Michael, P. A., John, J. P., & Kumar, S. S. (2010). Simulation and comparison of SPWM and SVPWM control for three phase inverter. ARPN journal of engineering and applied sciences, 5(7), 61-74.‏
  15. Rahimian, M., & Raahemifar, K. (2011, May). Optimal PID controller design for AVR system using particle swarm optimization algorithm. IEEE Canadian conference on electrical and computer engineering (CCECE), 337–40
  16. Rambabu, C. H., Obulesh, Y. P., & Saibabu, C. H. (2011). Multi-Objective Optimization Using Evolutionary Computation Techniques. International Journal of Computer Applications, 27(11), 19-25.‏
  17. Soni, Y. K., & Bhatt, R. (2013). Simulated Annealing Optimized PID Controller Design using ISE IAE IATE and MSE Error Criterion. International Journal of Advanced Research in Computer Engineering & Technology, 2(7): 2333–36
  18. Zheng, J., Huang, S., Rong, F., and Lye, M. (2018). Six-phase space vector PWM under stator one-phase open-circuit fault condition. Energies, 11(7),1796

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