Effects of objective function in PID controller design for an AVR system

Seyit Ahmet Nafiz Burnaz, M. S. Ayas
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引用次数: 1

Abstract

Regulation capability of an automatic voltage regulator (AVR) system still needs to be improved to keep the output voltage of the generator within the AVR system at the desired level. Researchers have been developing new control structures and designing controllers to improve the performance of the AVR system. Designing of PID controller, which is commonly preferred controller due to its simple structure and robustness against to system parameter changes, has an important place among these studies. Especially with the development of metaheuristic algorithms, more successful PID controller designs are emerging by using these algorithms than traditional design methods. Undoubtedly, the objective function utilized also has a significant effect on this success. Therefore, effects of the objective function in PID controller design process for an AVR system are examined in this study. Two different PID controllers are designed using two different metaheuristic algorithms, namely, crow search algorithm (CSA) and ant colony optimization (ACO) algorithm. The parameters of the PID controllers are optimally tuned by using five different objective functions in both algorithms. These objective functions are: Integral of absolute error (IAE), integral of squared error (ISE), integral of time-weighted absolute error (ITAE), integral of time-weighted squared error (ITSE), and a commonly used user-defined objective function. The performance of the designed PID controllers are compared in terms of transient response characteristics and performance metrics. In addition, in order to evaluate the stability of the AVR system with the designed controllers, bode analysis, pole-zero map analysis and robustness analysis are performed.
目标函数在AVR系统PID控制器设计中的作用
自动调压器(AVR)系统的调节能力仍然需要提高,以保持自动调压器系统内发电机的输出电压在期望的水平。研究人员一直在开发新的控制结构和设计控制器来提高AVR系统的性能。PID控制器的设计在这些研究中占有重要的地位,由于其结构简单,对系统参数变化具有较强的鲁棒性,是常用的控制器。特别是随着元启发式算法的发展,使用这些算法设计的PID控制器比传统的设计方法更成功。毫无疑问,所使用的目标函数对这一成功也有重要影响。因此,本研究考察了目标函数在AVR系统PID控制器设计过程中的作用。采用乌鸦搜索算法(CSA)和蚁群优化算法(ACO)两种不同的元启发式算法设计了两种不同的PID控制器。在这两种算法中,通过使用5种不同的目标函数对PID控制器的参数进行最优调整。这些目标函数是:绝对误差积分(IAE),平方误差积分(ISE),时间加权绝对误差积分(ITAE),时间加权平方误差积分(ITSE),以及常用的用户自定义目标函数。从暂态响应特性和性能指标方面比较了所设计PID控制器的性能。此外,为了评价所设计控制器对AVR系统的稳定性,进行了波德分析、极零映射分析和鲁棒性分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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