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Parameters-Tuning of PID Controller for Automatic Voltage Regulators using the African Buffalo Optimization

机译:使用非洲水牛城优化技术的自动调压器PID控制器参数调整

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摘要

In this paper, an attempt is made to apply the African Buffalo Optimization (ABO) to tune the parameters of a PID controller for an effective Automatic Voltage Regulator (AVR). Existing metaheuristic tuning methods have been proven to be quite successful but there were observable areas that need improvements especially in terms of the system’s gain overshoot and steady steady state errors. Using the ABO algorithm where each buffalo location in the herd is a candidate solution to the Proportional-Integral-Derivative parameters was very helpful in addressing these two areas of concern. The encouraging results obtained from the simulation of the PID Controller parameters-tuning using the ABO when compared with the performance of Genetic Algorithm PID (GA-PID), Particle-Swarm Optimization PID (PSO-PID), Ant Colony Optimization PID (ACO-PID), PID, Bacteria-Foraging Optimization PID (BFO-PID) etc makes ABO-PID a good addition to solving PID Controller tuning problems using metaheuristics.
机译:在本文中,尝试使用非洲水牛城优化(ABO)来调整PID控制器的参数,以实现有效的自动电压调节器(AVR)。现有的元启发式调整方法已被证明是非常成功的,但是有些可观察的领域需要改进,尤其是在系统的增益过冲和稳态误差方面。使用ABO算法,其中牛群中每个水牛的位置都是比例积分微分参数的候选解决方案,这对于解决这两个方面都非常有帮助。与遗传算法PID(GA-PID),粒子群优化PID(PSO-PID),蚁群优化PID(ACO-)的性能相比,使用ABO对PID控制器参数进行仿真所获得的令人鼓舞的结果(PID),PID,细菌觅食优化PID(BFO-PID)等使ABO-PID成为使用元启发式算法解决PID控制器调整问题的很好的补充。

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