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Background <p>Automatic voltage regulator (AVR) systems are very important systems in power systems to maintain voltage stability. But, their performance is frequently influenced by the nonlinear dynamics, parametric uncertainties and external disturbance. Traditional controllers, like PID and FOPID, have drawbacks in their ability to deliver robust and quick dynamic responses under these non-ideal operating conditions.</p> Objectives <p>To overcome these problems, this paper presents a novel hybrid fractional order fuzzy FOPID (FOF-FOPID) controller optimized by an improved greylag goose optimization (IGGO) algorithm.</p> Methods <p>The novelty of the proposed approach lies in its key aspects, such as the development of a hybrid fractional fuzzy FOPID controller, improvement of GGO using a chaotic function and application of an integrated framework to the AVR system with comprehensive validation under practical conditions.</p> Results <p>This combined approach helps to enhance adaptability and robustness in non-linear environments. The ITAE performance index is optimally used to tune the controller parameters such as gain, fractional orders and fuzzy scaling factors to achieve better transient response. Through extensive simulation results, it is shown that the proposed model can attain high performance in the rise time, settling time and overshoot compared with the conventional PID controller. The controller proposed in this paper has achieved the shortest rise time of 0.0756 s and the fastest peak time of 0.1568 s. It also has the fastest settling time of 0.3545 s and the least peak overshoot of 1%, indicating the high stability and efficiency of the system. Moreover, robustness analysis shows the robustness against the variation of the parameters within ± 50% range and disturbances.</p> Conclusion <p>In conclusion, the proposed model is efficient, robust and can be computed easily, making it suitable for real-time power system applications for AVR control.</p>

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A Novel Enhanced Meta-Heuristic–Optimized Fractional Fuzzy FOPID Controller for AVR Systems

  • 期刊论文

  • 发表日期：

    2026年6月19日

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  • H Kumar Tirumalasetty,
  • Bharat Kumar Polineni,
  • Sujatha Peddakotla

摘要

Background

Automatic voltage regulator (AVR) systems are very important systems in power systems to maintain voltage stability. But, their performance is frequently influenced by the nonlinear dynamics, parametric uncertainties and external disturbance. Traditional controllers, like PID and FOPID, have drawbacks in their ability to deliver robust and quick dynamic responses under these non-ideal operating conditions.

Objectives

To overcome these problems, this paper presents a novel hybrid fractional order fuzzy FOPID (FOF-FOPID) controller optimized by an improved greylag goose optimization (IGGO) algorithm.

Methods

The novelty of the proposed approach lies in its key aspects, such as the development of a hybrid fractional fuzzy FOPID controller, improvement of GGO using a chaotic function and application of an integrated framework to the AVR system with comprehensive validation under practical conditions.

Results

This combined approach helps to enhance adaptability and robustness in non-linear environments. The ITAE performance index is optimally used to tune the controller parameters such as gain, fractional orders and fuzzy scaling factors to achieve better transient response. Through extensive simulation results, it is shown that the proposed model can attain high performance in the rise time, settling time and overshoot compared with the conventional PID controller. The controller proposed in this paper has achieved the shortest rise time of 0.0756 s and the fastest peak time of 0.1568 s. It also has the fastest settling time of 0.3545 s and the least peak overshoot of 1%, indicating the high stability and efficiency of the system. Moreover, robustness analysis shows the robustness against the variation of the parameters within ± 50% range and disturbances.

Conclusion

In conclusion, the proposed model is efficient, robust and can be computed easily, making it suitable for real-time power system applications for AVR control.