基于模糊自适应算法的原动机参数整定

Adjusting the prime mover parameters based on self-adaptive fuzzy algorithm

在原动仿真系统中,关于其速度电流综合调节器(实质为PI调节器)的参数一直以来都是依靠传统方法来确定的,这种方法不但耗费时间,而且很难寻求到一组理想的参数。将模糊自适应算法引入可很好解决这些问题,通过具体事例运用MATLAB仿真试验,对传统方法和模糊自适应算法所得到的调节器阶跃响应进行比较,试验结果证明,模糊自适应算法能够快速优化确定PI参数,且原动系统的动态特性更好。

In the prime mover simulation system,the parameters of the PI regulator are always confirmed in traditional method,but this method consume much time and is hard to get ideal parameters.self-adaptive fuzzy algorithms will smoothly solve these problems.By an example,simulating with MATLAB between the additional method and self-adaptive fuzzy algorithm,it compares the step response characteristic,the result proves that self-adaptive fuzzy algorithm can fix the PI parameters quickly,and enable the prime mover system have a better dynamic characteristic.