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混杂系统基于参数规划的状态反馈预测控制
引用本文:李秀改,黄德先,高东杰. 混杂系统基于参数规划的状态反馈预测控制[J]. 中国化学工程学报, 2005, 13(5): 634-641
作者姓名:李秀改  黄德先  高东杰
作者单位:[1]Department of Automation, Tsinghua University, Beijing 100084, China [2]Key Lab of Complex Systems and Intelligent Science, institute of Automation, Chinese Academy of Sciences,Beijing 100080, China
基金项目:国家高技术研究发展计划(863计划)
摘    要:In this article, state feedback predictive controller for hybrid system via parametric programming is proposed. First, mixed logic dynamic (MLD) modeling mechanism for hybrid system is analyzed, which has a distinguished advantage to deal with the logic rules and constraints of a plant. Model predictive control algorithm with moving horizon state estimator (MHE) is presented. The estimator is adopted to estimate the current state of the plant with process disturbance and measurement noise, and the state estimated are utilized in the predictive controller for both regulation and tracking problems of the hybrid system based on MLD model. Off-line parametric programming is adopted and then on-line mixed integer programming problem can be treated as the parameter programming with estimated state as the parameters. A three tank system is used for computer simulation, results show that the proposed MHE based predictive control via parametric programming is effective for hybrid system with model/olant mismatch, and has a potential for the engineering applications.

关 键 词:混杂系统 参数规划 混合逻辑动力学 状态反馈 预测控制
收稿时间:2004-10-19
修稿时间:2004-10-192005-01-05

State Feedback Predictive Control for Hybrid System via Parametric Optimization
LIXiugai,HUANGDexian,GAODongjie. State Feedback Predictive Control for Hybrid System via Parametric Optimization[J]. Chinese Journal of Chemical Engineering, 2005, 13(5): 634-641
Authors:LIXiugai  HUANGDexian  GAODongjie
Affiliation:Tsinghua University;Tsinghua University
Abstract:In this article, state feedback predictive controller for hybrid system via parametric programming is proposed. First, mixed logic dynamic (MLD) modeling mechanism for hybrid system is analyzed, which has a distinguished advantage to deal with the logic rules and constraints of a plant. Model predictive control algorithm with moving horizon state estimator (MHE) is presented. The estimator is adopted to estimate the current state of the plant with process disturbance and measurement noise, and the state estimated are utilized in the predictive controller for both regulation and tracking problems of the hybrid system based on MLD model. Off-line parametric programming is adopted and then on-line mixed integer programming problem can be treated as the parameter programming with estimated state as the parameters. A three tank system is used for computer simulation, results show that the proposed MHE based predictive control via parametric programming is effective for hybrid system with model/plant mismatch, and has a potential for the engineering applications.
Keywords:predictive control  moving horizon estimator  hybrid system  mixed logic dynamic  parameters programming
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