在线优化参数的无模型PID预测函数控制  

PID Predictive Function Control with Model Free for On-Line Parameter Optimization

作　　者：侯小秋 Hou Xiaoqiu(School of Electronics and Controlling Engineering,Heilongjiang University of Science and Technology,Haerbin 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》2024年第11期9-14,共6页Journal of Huanghe S&T College

摘　　要：针对复杂非线性系统难以建模的控制问题,采用具有辅助变量紧格式动态线性化泛模型的无模型自适应控制方案,结合PID预测函数控制,并对目标函数进行改进,提出广义目标函数,给出无模型PID预测函数控制,采用直接极小化指标函数自适应优化算法对PID控制参数寻优,给出PID控制参数的在线优化算法。仿真研究表明算法的控制响应优良。This study addresses the control problem of complex nonlinear systems that are difficult to model by adopting a model-free adaptive control scheme based on a tight-format dynamic linearization generalized model with auxiliary variables.Combing PID anticipation function control and modifying objective function,a generalized object function and PID predict function control with model free were developed.Moreover,PID control parameters were be optimizing by using adaptive optimization algorithm for direct minimization of index function and on line PID control parameter optimizing algorithm was obtained.Simulation results verify that the control response of the algorithm is excellent.

关 键 词：PID预测函数控制 无模型自适应控制 泛模型 直接极小化指标函数自适应优化算法 广义目标函数 在线优化 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]