Integrated PLC-fuzzy PID Simulink implemented AVR system
Improving the transient response of power generation systems using automation control in a precise manner is the key issue. We design a fuzzy proportional integral derivative (PID) controller using Matlab and programmable logic controllers (PLCs) for a set point voltage control problem in the automa...
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| Format: | Article |
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Elsevier
2015
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| _version_ | 1796860297935323136 |
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| author | Al Gizi, Abdullah J. H. Mustafa, Mohd. Wazir Al Zaidi, Kaml M. A. Al-Zaidi, Mahmoud K. J. |
| author_facet | Al Gizi, Abdullah J. H. Mustafa, Mohd. Wazir Al Zaidi, Kaml M. A. Al-Zaidi, Mahmoud K. J. |
| author_sort | Al Gizi, Abdullah J. H. |
| collection | ePrints |
| description | Improving the transient response of power generation systems using automation control in a precise manner is the key issue. We design a fuzzy proportional integral derivative (PID) controller using Matlab and programmable logic controllers (PLCs) for a set point voltage control problem in the automatic voltage regulator (AVR) system. The controller objective is to maintain the terminal voltage all the time under any loads and operational conditions by attaining to the desired range via the regulation of the generator exciter voltage. The main voltage control system uses PLCs to implement the AVR action. The proposed fuzzy controller combines the genetic algorithm (GA), radial-basis function network (RBF-NN) identification and fuzzy logic control to determine the optimal PID controller parameters in AVR system. The RBF tuning for various operating conditions is further employed to develop the rule base of the Sugeno fuzzy system. The fuzzy PID controller (GNFPID) is further designed to transfer in PLCs (STEP 75.5) for implementing the AVR system with improved system response. An inherent interaction between two generator terminal voltage control and excitation current is revealed. The GNFPID controller configures the control signal based on interaction and there by reduces the voltage error and the oscillation in the terminal voltage control process. We achieve an excellent voltage control performance by testing the proposed fuzzy PID controller on a practical AVR system in synchronous generator for improve the transient response |
| first_indexed | 2024-03-05T19:39:17Z |
| format | Article |
| id | utm.eprints-55979 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T19:39:17Z |
| publishDate | 2015 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | utm.eprints-559792017-02-15T00:55:35Z http://eprints.utm.my/55979/ Integrated PLC-fuzzy PID Simulink implemented AVR system Al Gizi, Abdullah J. H. Mustafa, Mohd. Wazir Al Zaidi, Kaml M. A. Al-Zaidi, Mahmoud K. J. TK Electrical engineering. Electronics Nuclear engineering Improving the transient response of power generation systems using automation control in a precise manner is the key issue. We design a fuzzy proportional integral derivative (PID) controller using Matlab and programmable logic controllers (PLCs) for a set point voltage control problem in the automatic voltage regulator (AVR) system. The controller objective is to maintain the terminal voltage all the time under any loads and operational conditions by attaining to the desired range via the regulation of the generator exciter voltage. The main voltage control system uses PLCs to implement the AVR action. The proposed fuzzy controller combines the genetic algorithm (GA), radial-basis function network (RBF-NN) identification and fuzzy logic control to determine the optimal PID controller parameters in AVR system. The RBF tuning for various operating conditions is further employed to develop the rule base of the Sugeno fuzzy system. The fuzzy PID controller (GNFPID) is further designed to transfer in PLCs (STEP 75.5) for implementing the AVR system with improved system response. An inherent interaction between two generator terminal voltage control and excitation current is revealed. The GNFPID controller configures the control signal based on interaction and there by reduces the voltage error and the oscillation in the terminal voltage control process. We achieve an excellent voltage control performance by testing the proposed fuzzy PID controller on a practical AVR system in synchronous generator for improve the transient response Elsevier 2015-07 Article PeerReviewed Al Gizi, Abdullah J. H. and Mustafa, Mohd. Wazir and Al Zaidi, Kaml M. A. and Al-Zaidi, Mahmoud K. J. (2015) Integrated PLC-fuzzy PID Simulink implemented AVR system. International Journal of Electrical Power and Energy Systems, 69 . pp. 313-326. ISSN 0142-0615 http://dx.doi.org/10.1016/j.ijepes.2015.01.009 DOI:10.1016/j.ijepes.2015.01.009 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Al Gizi, Abdullah J. H. Mustafa, Mohd. Wazir Al Zaidi, Kaml M. A. Al-Zaidi, Mahmoud K. J. Integrated PLC-fuzzy PID Simulink implemented AVR system |
| title | Integrated PLC-fuzzy PID Simulink implemented AVR system |
| title_full | Integrated PLC-fuzzy PID Simulink implemented AVR system |
| title_fullStr | Integrated PLC-fuzzy PID Simulink implemented AVR system |
| title_full_unstemmed | Integrated PLC-fuzzy PID Simulink implemented AVR system |
| title_short | Integrated PLC-fuzzy PID Simulink implemented AVR system |
| title_sort | integrated plc fuzzy pid simulink implemented avr system |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
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