在线优化基函数的对称双线性系统的预测函数控制  

Predictive Function Control of Symmetric Bilinear System for Online Optimization Basis Function

作　　者：侯小秋 Hou Xiaoqiu(School of Electronics and Controlling Engineering,Heilongjiang University of Science and Technology,Harbin City,Heilongjiang Province 150022)

机构地区：[1]黑龙江科技大学电气与控制工程学院,黑龙江哈尔滨150022

出　　处：《黄河科技学院学报》2023年第2期26-31,共6页Journal of Huanghe S&T College

摘　　要：针对对称双线性系统的控制问题,研究其确定性定常情形,对预测时域长度进行分段处理,提出对称双线性系统的预测函数控制迭代算法,避免了求解控制输入的非线性最优化问题,利用直接极小化指标函数自适应优化算法,对基函数进行优化,因此基函数是在线优化时变的,算法具有可变基函数的功能,仿真研究表明算法的控制响应具有优良的性能。In connection with the control problem of symmetric bilinear system, its deterministic time-invariant was analyzed, and the predictive time domain sectioned was considered.A iterative algorithm of predictive function control of symmetric bilinear system was developed for avoiding to solve the optimization task of non linear input.The basis function was optimized by using adaptive direct minimization of index function algorithm so that the basis function with time varying was optimized on line, and the algorithm has able varying basis function.Simulation results indicate that the algorithm has excellent control response performance.The algorithm has the function of variable basis function.Simulation results show that the control response of the algorithm has excellent performance.

关 键 词：预测函数控制 对称双线性系统 直接极小化指标函数自适应优化算法 基函数 在线优化参数 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]