基于变论域模糊PI控制的电力弹簧控制策略

电力弹簧采用一种输入反馈的形式,有效地缓解了由分布式发电带来的电能质量问题。自适应模糊PI控制对电力弹簧装置的稳定性和鲁棒性有较好的改善作用,但是作为插值器的模糊控制器的精度在既定的规则下无法得到保障,将变论域思想应用到自适应模糊PI中,提出一种基于变论域模糊PI的电力弹簧控制策略,首先对伸缩因子进行动态调节,从而实现模糊控制论域的缩放,间接地增加或减少控制器的规则,从而达到预期的精度,使电力弹簧的控制效果达到最好。仿真结果表明:变论域模糊PI控制能够快速无超调地实现对关键负载的控制要求,具有更好的控制精度和适应性。

Electric Spring Control Strategy Based on Variable Universe Fuzzy PI Control

The electric spring adopts a form of input feedback, which effectively alleviates the power quality problem caused by distributed generation. Adaptive fuzzy PI control has a better effect on the stability and robustness of the electric spring device, but the accuracy of the fuzzy controller as an interpolator cannot be guaranteed under the established rules. This paper applies the variable universe theory to adaptive fuzzy PI, a electric spring control strategy based on variable universe fuzzy PI is designed. Firstly, the contraction-expansion factor is dynamically adjusted to realize the scaling of the fuzzy control universe, and indirectly increase or decrease the rules of the controller. The expected accuracy is achieved, and the control effect of the electric spring is best. The simulation results show that the variable-universe fuzzy PI control can realize the control requirements of critical loads quickly and without overshoot, and has better control precision and adaptability