基于二维云模型同步发电机PID励磁系统仿真

摘要

The cloud model is a powerful tool to achieve qualitative and quantitative uncertainty transforming. It integrates the fuzziness and randomness of objective things and solves the problem of nonlinear and uncertainties. For the nonlinearity, time-variability and uncertainty of excitation system in ship power system, the cloud model is applied to synchronous generator excitation control and two dimensional cloud model of PID excitation is designed. The forward cloud model is utilized to represent the voltage difference of synchronous generator and rate of voltage difference change concepts. Then the backward cloud generator is employed to generate the three parameters of PID concepts. Thus the cloud reasoning rule of double condition multi-rules of two dimensional cloud model is formulated and PID parameters of excitation controller are self-tuned. Through the establishment of models of synchronous generator controllable phase compound brushless excitation system and the two dimensional cloud model PID excitation system, the result of simulation shows that the two dimensional cloud model PID excitation controllable system model has better robustness and better adaptive ability.%云模型可以实现定性概念与定量之间的转换，集成了概念的模糊性与随机性，可以解决非线性与不确定性问题。针对船舶电力系统中励磁系统非线性、时变性、不确定性的特点，将云模型应用到同步发电机励磁控制中，设计出二维云模型PID励磁控制器。其过程是将同步发电机端电压差及其变化率进行概念表示，形成前件二维云模型，然后根据PID三个参数信息构造成后件云模型，并制定出二维云模型双条件多规则的映射语言形式，实现对PID参数的模糊推理自整定。与可控相复励无刷励磁系统进行对比，仿真实验结果表明了二维云模型PID励磁控制系统模型具有更好的鲁棒性和自适应能力。