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首页> 外文期刊>International Journal of Innovative Computing Information and Control >OPTIMAL FUZZY GAIN SCHEDULING OF PID CONTROLLER OF SUPERCONDUCTING MAGNETIC ENERGY STORAGE FOR POWER SYSTEM STABILIZATION
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OPTIMAL FUZZY GAIN SCHEDULING OF PID CONTROLLER OF SUPERCONDUCTING MAGNETIC ENERGY STORAGE FOR POWER SYSTEM STABILIZATION

机译：电力系统稳定超导磁储能PID控制器的最优模糊增益调度

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摘要

It is well known that the proportional-integral-derivative (PID) can be applied to solve practical control problems effectively. However, in the face of the high system nonlinearity, the PID controller with fixed parameters may fail to provide satisfactory control performance. To enhance the PID control effect, a new design of the fuzzy gain scheduling of PID controller (FGS-PID) is presented in this paper. The proposed technique is applied to design FGS-PID controllers of superconducting magnetic energy storage (SMES) for power system stabilization. Without trial and error, the scale factors, membership functions and control rules of the FGS-PID controller are automatically tuned by a bee colony optimization. With the optimal FGS-PID controller, the PID parameters can be adjusted automatically according to various system operating conditions. As a result, the high robustness of the FGS-PID controller can be expected. Simulation study confirms that the stabilizing effect and robustness of the proposed SMES with an optimal FGS-PID controller are much superior to those of the SMES with an optimal PID controller.
机译：众所周知，比例积分微分（PID）可用于有效解决实际控制问题。但是，面对高度的系统非线性，具有固定参数的PID控制器可能无法提供令人满意的控制性能。为了提高PID控制效果，提出了PID控制器模糊增益调度（FGS-PID）的新设计。所提出的技术被用于设计用于电力系统稳定的超导磁储能（SMES）的FGS-PID控制器。通过反复试验，FGS-PID控制器的比例因子，隶属函数和控制规则可通过蜂群优化自动进行调整。使用最佳的FGS-PID控制器，可以根据各种系统运行条件自动调整PID参数。结果，可以预期FGS-PID控制器的高鲁棒性。仿真研究证实，采用最优FGS-PID控制器的拟议SMES的稳定效果和鲁棒性要优于采用最优PID控制器的SMES的稳定效果和鲁棒性。

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