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
Fulltext View|Download
Keywords: SynRM; PID; Cascade Controller; PSO; SVPWM; Matlab Environment

Article Metrics:

Article Info
Section: Original Research Article
Language : EN
Recent articles
Experimental Studies of Interaction Forces Affect the Position of Vertical Plates on Oscillating Heave Plates with Cylindrical Bodies in Regular Waves Tax Incentive Policy for Geothermal Development: A Comparative Analysis in ASEAN On the Eddy Current Losses in Metallic Towers The influence of microbial community dynamics on anaerobic digestion efficiency and stability: A Review Assessing the Current Status of Renewable Energies and Their Limitations in Iran Multi-Feedstocks Biodiesel Production from Esterification of Calophyllum inophyllum Oil, Castor Oil, Palm Oil and Waste Cooking Oil Biodiesel Production through Catalytic Microwave In-situ Transesterification of Micro-algae (Chlorella sp.) Energy Analysis of a Hybrid Solar Dryer for Drying Coffee Beans More recent articles
Most cited articles
Performance Evaluation of the Effect of waste paper on Groundnut Shell Briquette Modelling the Kinetics of Biogas Production from Mesophilic Anaerobic Co-Digestion of Cow Dung with Plantain Peels Premixed Combustion of Coconut Oil on Perforated Burner Steam gasification of wood biomass in a fluidized biocatalytic system bed gasifier: A model development and validation using experiment and Boubaker Polynomials Expansion Scheme BPES Determinants of CO2 Emissions in Emerging Markets: An Empirical Evidence from MINT Economies More cited articles
  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

Last update:

  1. Warp yarn tension coupling models and fuzzy PID control for enhancing warp beam unwinding tension stability in sizing machines

    Li Tu, Mingrui Guo, Jingan Wang, Weidong Gao. Journal of Industrial Textiles, 54 , 2024. doi: 10.1177/15280837241301709

  2. Modeling, Analysis and Simulation of a High-Efficiency Battery Control燬ystem

    Mohammed Ayad Alkhafaji, Yunus Uzun. Computer Modeling in Engineering & Sciences, 136 (1), 2023. doi: 10.32604/cmes.2023.024236

  3. Modeling and control of 3-omni wheel Robot using PSO optimization and Neural Network

    Mahmood Abdallah Saleh, MennaAllah Soliman, Hossam Hassan Ammar, Mohamed A. Wahby Shalaby. 2020 International Conference on Control, Automation and Diagnosis (ICCAD), 2020. doi: 10.1109/ICCAD49821.2020.9260509

  4. Vehicle vibration test platform structure design and control strategy optimization

    Zhiqiang Xi, Yongzheng Guo, Yiliu Wang, Kui Liu, Haiyang Yang, Zhanzheng Guo, Shuai Zhang. Advanced Control for Applications, 6 (3), 2024. doi: 10.1002/adc2.214

  5. New Perspectives on Electric Vehicles

    Muhammet Tahir Guneser, Mohammed Ayad Alkhafaji, Cihat Seker. 2022. doi: 10.5772/intechopen.98873

  6. Modeling of Synchronous Reluctance Motor and Open and Closed Loop Speed Control

    Deniz Can Dursun, Ahmet Yildiz, Mehmet Polat. 2022 21st International Symposium INFOTEH-JAHORINA (INFOTEH), 2022. doi: 10.1109/INFOTEH53737.2022.9751332

Last update: 2024-11-21 11:36:23

  1. Modeling and control of 3-omni wheel Robot using PSO optimization and Neural Network

    Mahmood Abdallah Saleh, MennaAllah Soliman, Hossam Hassan Ammar, Mohamed A. Wahby Shalaby. 2020 International Conference on Control, Automation and Diagnosis (ICCAD), 2020. doi: 10.1109/ICCAD49821.2020.9260509