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A Hybrid Optimisation Algorithm for Voltage Control

机译:电压控制的混合优化算法

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摘要

This paper proposes of a hybrid optimisation algorithm consisting of the ant-colony optimisation and whale optimisation algorithm for the tuning of PID controllers in AVR systems. Two excitation models are chosen, namely the Type DC1A and Type AC5A excitation systems which are coupled with either a first order or a fourth order generator model. A Proportional Integral Derivative (PID) controller is incorporated into the system to correct the step response in terms of percentage overshoot, settling time and steady state error. The hybrid algorithm is then tested against the individual optimisation schemes and the results obtained were found to be very promising.
机译:针对AVR系统中PID控制器的整定问题,提出了一种由蚁群优化算法和鲸鱼优化算法组成的混合优化算法。选择了两种励磁模型,即DC1A型和AC5A型励磁系统,它们与一阶或四阶发电机模型耦合。系统中集成了比例积分微分(PID)控制器,以根据百分比超调,稳定时间和稳态误差来校正阶跃响应。然后针对单独的优化方案测试了混合算法,发现获得的结果非常有前途。

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