发电机调速器系统的灰色预测控制

Tianjing Ji, M. Wang, Fawei Wang, Minqiu Zhou
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引用次数: 0

摘要

为解决电力系统在大、小扰动下的稳定性问题,提出了一种基于灰色预测控制理论的发电机调节系统。灰色预测控制可以对系统的未来行为数据进行预测,并根据已知的系统行为进行超前控制。本文将传统PID控制引入经典灰色GM(1,1)模型的决策环节,设计了灰色预测PID控制器。以实际转速为样本,预测系统未来的数据变化,最后输出进阶控制信号,实现“预防先行”的进阶控制。利用MATLAB对控制效果进行了仿真。结果表明,灰色预测PID控制能有效地减少超调量和调整时间,使系统快速进入稳定状态。与常规控制相比,其控制效果更为显著。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Grey Predictive Control of the Generator Governor System
To solve the stability problems of power system under a big or small disturbances, this paper proposes a generator governoring system based on the theory of grey prediction control method. Grey predictive control can predict the future behavior data of the system and make advance control according to the known behavior of the system. In this paper, the conventional PID control is introduced into the decision-making link of the classical grey GM (1,1) model, then the Grey Predictive PID controller is designed. Taking the actual speed as the sample, the future data change of the system is predicted, and finally the advanced control signal is output to realize the advanced control of "prevention in the first place". The control effect is simulated with MATLAB. The results show that the Grey Predictive PID control can effectively reduce the overshoot and adjustment time, and make the system quickly enter the stable state. Compared with the conventional control, its control effect is more remarkable.
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