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针对普通预测函数控制中选取的基函数为全局函数,对参考轨迹的逼近不能根据不同精度要求进行灵活设置,影响了系统整体优化性能.提出一种基于小波函数的预测函数控制方法.该方法采用小波函数作为基函数,利用小波函数的多尺度分析和紧支局部特性,在预测时域内灵活设置小波基函数的个数及位置分布,在保证整体性能的同时又兼顾了拟合点的逼近要求.同时对小波基函数的不同分布情况进行了仿真比较.仿真结果表明该方法在响应速度、控制精度、抗干扰等方面比普通PFC方法具有明显的改善作用.
The basic function selected in the control of general predictive function is a global function, and the approximation to the reference trajectory can not be flexibly set according to the different precision requirements, which affects the overall optimization performance of the system.A method of predictive function control based on wavelet function is proposed, By using wavelet function as the basis function and multi-scale analysis of wavelet function and local characteristics of tight branch, the number and location of wavelet basis functions can be flexibly set in the predicted time domain, while ensuring the overall performance while taking into account the approximation requirements of fitting points At the same time, different distributions of wavelet basis functions are simulated and compared with each other, and the simulation results show that this method has a significant improvement over ordinary PFC methods in terms of response speed, control accuracy and anti-interference.