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Comparative study of PID controller designs for AVR using different optimization techniques

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper presents the optimal PID tuning study to improve the dynamic performance of an automatic voltage regulation (AVR) system. The system under study consists of a synchronous generator whose reference voltage changes in a step function and tries to overcome the transient behavior of its terminal voltage smoothly. To optimally control the performance, different optimization techniques are applied to tune the controller gains to obtain the minimum steady state error (main objective) and better dynamic characteristics (rise time, settling time, max overshoot, etc.). Then the AVR system responses with a PID controller based on different optimization techniques are compared to find out which is the best technique.
Rocznik
Strony
567--583
Opis fizyczny
Bibliogr. 23 poz., rys., wz.
Twórcy
autor
  • Electrical Power and Machines Department, Faculty of Engineering, Ain Shams University 1 Elsarayat St., Abbaseya, 11517 Cairo, Egypt
autor
  • Electrical Power and Machines Department, Faculty of Engineering, Ain Shams University 1 Elsarayat St., Abbaseya, 11517 Cairo, Egypt
  • Electrical Power and Machines Department, Faculty of Engineering, Ain Shams University 1 Elsarayat St., Abbaseya, 11517 Cairo, Egypt
Bibliografia
  • [1] Mahmut Temel Özdemir, Vedat Çelik, Stability analysis of the automatic voltage regulation system with PI controller, Journal of Sakarya University Institute of Science, vol. 21, no. 4, pp. 698–705 (2017).
  • [2] Challapuram Yaswanth Reddy et al., Laboratory implementation of Automatic Voltage Regulator, Biennial International Conference on Power and Energy Systems: Towards Sustainable Energy (PESTSE), Bangalore, pp. 1–6 (2016).
  • [3] Saidy M., Huges F.M., A predictive integrated voltage regulator and power system stabilizer, Elsevier proceedings on Electrical Power and Energy Systems, vol. 7, no. 2, pp. 101–111 (1995).
  • [4] Rakesh Singh Lodhi, Abhishek Saraf, Survey on PID Controller Based Automatic Voltage Regulator, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, vol. 5, no. 9, pp. 7424–7429 (2016).
  • [5] Haluk Gozde, Cengiz Taplamacioglu M., Comparative performance analysis of artificial bee colony algorithm for automatic voltage regulator (AVR) system, Journal of the Franklin Institute, vol. 348, no. 8, pp. 1927–1946 (2011).
  • [6] Gaing Z.-L., A particle swarm optimization approach for optimum design of PID controller in AVR system, IEEE Trans. Energy Convers., vol. 19, no. 2, pp. 384–391 (2004).
  • [7] Elgard O.I., Electric Energy Systems Theory, New York, Mc Graw-Hill (1982).
  • [8] Mukherjee V., Ghoshal S.P., Intelligent particle swarm optimized fuzzy PID controller for AVR system, Electron. Power Syst. Res., vol. 77, no. 12, pp. 1689–1698 (2007).
  • [9] Sambariya D.K., Tripti Gupta, Optimal Design of PID Controller for an AVR System Using Flower Pollination Algorithm, Journal of Automation and Control, vol. 6, iss. 1, pp. 1–14 (2018).
  • [10] dos Santos Coelho L., Tuning of PID controller for an automatic regulator voltage system using chaotic optimization approach, Chaos, Solitons and Fractals, vol. 39, no. 4, pp. 1504–1514 (2009).
  • [11] Qader M.R., Identifying the optimal controller strategy for DC motors, Archives of Electrical Engineering, vol. 68, no. 1, pp. 101–114 (2019).
  • [12] Eswaramma K., Surya Kalyan G., An Automatic Voltage Regulator AVR System Control using a P-I-DD Controller, Journal of Advance Engineering and Research Development, vol. 4, no. 6, pp. 499–506 (2017).
  • [13] Aström K.J., Hägglund T., PID Controllers: Theory, Design, and Tuning, Instrument Society of America, USA (1995).
  • [14] Yang X.-S., Flower pollination algorithm for global optimization, Lecture Notes in Computer Science, vol. 7445, pp. 240–249 (2012).
  • [15] Chiroma H., Shuib N.L.M., Muaz S.A., Abubakar A.I., Ila L.B., Maitama J.Z., A review of the applications of bio-inspired flower pollination algorithm, Procedia Computer Science, vol. 62, pp. 435–441 (2015).
  • [16] Mihailo Micev, Martin Calasan, Diego Oliva, Fractional Order PID Controller Design for an AVR System Using Chaotic Yellow Saddle Goatfish Algorithm, Mathematics, vol. 8, no. 1182 (2020), DOI: 10.3390/math8071182.
  • [17] Sahib M.A., A novel optimal PID plus second order derivative controller for AVR system, Engineering Science and Technology, an International Journal, vol. 18, iss. 2, pp. 194–206 (2015).
  • [18] Abdel-Raouf Osama, Abdel-Baset M., el-Henawy I., A new hybrid flower pollination algorithm for solving constrained global optimization problems, International Journal of Applied Operational Research- An Open Access Journal, vol. 4, no. 2, pp. 1–13 (2014).
  • [19] Sambariya D.K., Gupta T., Optimal design of PID controller for an AVR system using monarch butterfly optimization, International Conference on Information, Communication, Instrumentation and Control (ICICIC), Indore, India, pp. 1−6 (2017).
  • [20] Priyambada S., Mohanty P.K., Sahu B.K., Automatic voltage regulator using TLBO algorithm optimized PID controller, 2014 9th International Conference on Industrial and Information Systems (ICIIS), Gwalior, India, pp. 1–6 (2014).
  • [21] Niknam Taher, Rasoul Azizipanah-Abarghooee, Narimani Mohammad Rasoul, A new multi objective optimization approach based on TLBO for location of automatic voltage regulators in distribution systems, Engineering Applications of Artificial Intelligence, vol. 25, pp. 1577–1588 (2012).
  • [22] Askarzadeh Alireza, Rashedi Esmat, Harmony Search Algorithm. Recent Developments in intelligent Nature-Inspired Computing (2017), DOI: 10.4018/978-1-5225-2322-2.ch001.
  • [23] Mohanty Pradeep, Sahu Binod, Panda Sidhartha, Kar Sanjeeb, Mishra Nandan, Performance Analysis and Design of Proportional Integral Derivative Controlled Automatic Voltage Regulator System Using Local Unimodal Sampling Optimization Technique, pp. 566–576 (2012), DOI: 10.1007/ 978-3-642-35380-2_66.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-6fdb64ef-4a04-4e5e-aac1-ef82004dcb2e
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