Optimal Control of AVR System With Tree Seed Algorithm-Based PID Controller
In this study, an optimal Tree-Seed Algorithm (TSA) algorithm-based Proportional-Integral-Derivative (PID) controller is proposed for automatic voltage regulator (AVR) system terminal tracking problem. PID controller gains <inline-formula> <tex-math notation="LaTeX">K\text{p} &...
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          | Published in | IEEE access Vol. 8; pp. 89457 - 89467 | 
|---|---|
| Main Author | |
| Format | Journal Article | 
| Language | English | 
| Published | 
        Piscataway
          IEEE
    
        2020
     The Institute of Electrical and Electronics Engineers, Inc. (IEEE)  | 
| Subjects | |
| Online Access | Get full text | 
| ISSN | 2169-3536 2169-3536  | 
| DOI | 10.1109/ACCESS.2020.2993628 | 
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| Abstract | In this study, an optimal Tree-Seed Algorithm (TSA) algorithm-based Proportional-Integral-Derivative (PID) controller is proposed for automatic voltage regulator (AVR) system terminal tracking problem. PID controller gains <inline-formula> <tex-math notation="LaTeX">K\text{p} </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">K\text{i} </tex-math></inline-formula>, and <inline-formula> <tex-math notation="LaTeX">K\text{d} </tex-math></inline-formula> are optimized with the proposed TSA algorithm based on different objective functions. The TSA-based optimal PID controller's performance is compared with numerous PID controllers, which were developed using different meta-hermetic optimization algorithms in the literature. Several analysis methods including root locus, bode analysis, robustness, and disturbance rejection are studied and compared with reported works in the literature. It is shown that there is still a research gap to improve the tracking performance of the AVR system due to its importance in electrical systems. According to the obtained comparison results, it has been revealed that the proposed TSA-based PID controller improves tracking properties under load change thus it can be effectively used for synchronous generator automatic voltage regulator terminal voltage stability. | 
    
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| AbstractList | In this study, an optimal Tree-Seed Algorithm (TSA) algorithm-based Proportional-Integral-Derivative (PID) controller is proposed for automatic voltage regulator (AVR) system terminal tracking problem. PID controller gains [Formula Omitted], [Formula Omitted], and [Formula Omitted] are optimized with the proposed TSA algorithm based on different objective functions. The TSA-based optimal PID controller’s performance is compared with numerous PID controllers, which were developed using different meta-hermetic optimization algorithms in the literature. Several analysis methods including root locus, bode analysis, robustness, and disturbance rejection are studied and compared with reported works in the literature. It is shown that there is still a research gap to improve the tracking performance of the AVR system due to its importance in electrical systems. According to the obtained comparison results, it has been revealed that the proposed TSA-based PID controller improves tracking properties under load change thus it can be effectively used for synchronous generator automatic voltage regulator terminal voltage stability. In this study, an optimal Tree-Seed Algorithm (TSA) algorithm-based Proportional-Integral-Derivative (PID) controller is proposed for automatic voltage regulator (AVR) system terminal tracking problem. PID controller gains <inline-formula> <tex-math notation="LaTeX">K\text{p} </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">K\text{i} </tex-math></inline-formula>, and <inline-formula> <tex-math notation="LaTeX">K\text{d} </tex-math></inline-formula> are optimized with the proposed TSA algorithm based on different objective functions. The TSA-based optimal PID controller's performance is compared with numerous PID controllers, which were developed using different meta-hermetic optimization algorithms in the literature. Several analysis methods including root locus, bode analysis, robustness, and disturbance rejection are studied and compared with reported works in the literature. It is shown that there is still a research gap to improve the tracking performance of the AVR system due to its importance in electrical systems. According to the obtained comparison results, it has been revealed that the proposed TSA-based PID controller improves tracking properties under load change thus it can be effectively used for synchronous generator automatic voltage regulator terminal voltage stability. In this study, an optimal Tree-Seed Algorithm (TSA) algorithm-based Proportional-Integral-Derivative (PID) controller is proposed for automatic voltage regulator (AVR) system terminal tracking problem. PID controller gains Kp, Ki, and Kd are optimized with the proposed TSA algorithm based on different objective functions. The TSA-based optimal PID controller's performance is compared with numerous PID controllers, which were developed using different meta-hermetic optimization algorithms in the literature. Several analysis methods including root locus, bode analysis, robustness, and disturbance rejection are studied and compared with reported works in the literature. It is shown that there is still a research gap to improve the tracking performance of the AVR system due to its importance in electrical systems. According to the obtained comparison results, it has been revealed that the proposed TSA-based PID controller improves tracking properties under load change thus it can be effectively used for synchronous generator automatic voltage regulator terminal voltage stability.  | 
    
| Author | Kose, Ercan | 
    
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| SubjectTerms | Algorithms Automatic voltage control Automatic voltage regulator bode analysis Control systems Controllers disturbance analysis Generators Optimal control Optimization PID controller Proportional integral derivative Robustness Root locus Tracking control Tracking problem Transfer functions transient response tree-seed algorithm Voltage regulators Voltage stability  | 
    
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| Title | Optimal Control of AVR System With Tree Seed Algorithm-Based PID Controller | 
    
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