基于变论域模糊PI自适应控制的电力弹簧控制策略

针对电力弹簧传统控制策略自适应调节能力不足的问题，对传统控制策略进行改进。考虑系统运行工况或参数发生变化，尤其是非关键负载阻值在系统运行过程中可能发生的变化对电力弹簧调压性能的影响,以及普通模糊控制的局限性，提出了一种变论域模糊比例-积分（PI）自适应控制策略。该策略根据输入误差的大小实时调整模糊论域来得到更好的控制效果。结合函数型伸缩因子与模糊推理伸缩因子各自的优点，对输入论域和输出论域的伸缩因子分别进行设计，以提高控制精度。仿真分析表明，与现有的控制策略相比，所提控制策略进一步提高了系统稳定性，增强了电力弹簧的自适应调节能力。

Control Strategy for Electric Spring Based on Fuzzy Proportional-Integral Self-adaptive Control in Variable Universe

In view of the problem of insufficient self-adaptive adjustment ability of the traditional control strategy of electric spring, this paper improves the traditional control strategy. Considering the variation of system operation conditions or parameters, especially the influence of possible variation of non-critical load resistance during the operation of the system on the voltage regulation performance of electric spring and the limitations of conventional fuzzy control, a fuzzy proportional-integral (PI) self-adaptive control strategy in variable universe is proposed. This strategy timely adjusts the fuzzy universe according to the values of input errors, to obtain better control effect. Combining the respective advantages of the functional scaling factor and the fuzzy inference scaling factor, the scaling factors of the input universe and the output universe are designed separately, which improves the control accuracy. Simulation analysis shows that, compared with the existing control strategies, the proposed control strategy further improves the system stability and enhances the self-adaptive adjustment capability of electric spring.