非线性预测控制模型方法综述

MPC Technical for Nonlinear System

摘要:

预测控制(MPC)算法经历了30余年的发展,展现出强大的生命力。近年来,非线性MPC已逐渐成为MPC研究的热点。非线性系统多样性给非线性MPC研究造成了困难,主要体现在模型选取、能量函数求解和非线性算法等诸多方面。非线性MPC以非线性模型为基础,这也是非线性MPC区别于线性MPC的根本因素。论文针对非线性预测模型进行了总结和评述。

Abstract:

Model predictive control (MPC) arithmetic shows powerful vital force with development over 30 years, and nonlinear MPC is turned into the research hotspot gradually. Multiformity of the nonlinear system brings the difficulty to nonlinear MPC research, embodies model selection, energy function solution, nonlinear arithmetic, and etc. Nonlinear MPC is based on nonlinear mode, which is the fundamental factor to distinguish the nonlinear MPC and linear MPC. The nonlinear predicting model is summarized in this paper.