Enhanced Chaotic Grasshopper Optimization Algorithm Based PID Controller for Automatic Voltage Regulator System
G. Saravanan1, D. Sathish Kumar2, A. Mohamed Ibrahim3, C. Karthikeyan4
1G.Saravanan, Department of Electrical and Electronics Engineering, KPR Institute of Engineering and Technology, Coimbatore, India.
2D.Sathish Kumar, Department of Electrical and Electronics Engineering, KPR Institute of Engineering and Technology, Coimbatore, India.
3A.Mohamed Ibrahim, Department of Electrical and Electronics Engineering, KPR Institute of Engineering and Technology, Coimbatore, India.
4C.Karthikeyan, Department of Electrical and Electronics Engineering, K.S.R. College of Engineering, Tiruchengode, India.
Manuscript received on November 15, 2019. | Revised Manuscript received on November 23, 2019. | Manuscript published on November 30, 2019. | PP: 348-354 | Volume-8 Issue-4, November 2019. | Retrieval Number: D6874118419/2019©BEIESP | DOI: 10.35940/ijrte.D6874.118419
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This work presents, the PID controller design for AVR system using Enhanced Chaotic Grasshopper Optimization Algorithm (ECGOA). The system response under the different settings are studied with PID controller for stable and minimum error operation. The gain of the controller revealed from traditional methods to recent optimization algorithm. The ECGOA will be implemented for AVR system with PID controller and the performance in-terms of transient response, robustness, stability and error is compared with existing optimization algorithm. The ECGOA based PID controller provides good response and examined upto ±50% of variation in several component of AVR system.
Keywords: AVR System, PID Controller, Optimization Algorithm, Chaotic, Grasshopper Optimization Algorithm..
Scope of the Article: Discrete Optimization.