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Analysis of Robustness of PID-GPC Based on IMC Structure

CHEN Zengqiang; MAO Zongxing; DU Shengzhi; SUN Qinglin; YUAN Zhuzhi   

  1. Department of Automation, Nankai University, Tianjin 300071, China
  • Received:1900-01-01 Revised:1900-01-01 Online:2003-02-28 Published:2003-02-28

基于IMC结构的PID-GPC的鲁棒性分析

陈增强; 毛宗星; 杜升之; 孙青林; 袁著祉   

  1. Department of Automation, Nankai University, Tianjin 300071, China
  • 通讯作者: 陈增强

Abstract: Proportion integral differential generalized predictive control(PID-GPC), a new type of
generalizedpredictive control(GPC) is introduced, and its quality is analyzed with internal
model control (IMC). A veryimportant characteristic, which distinguishes GPC from ordinary
IMC, and the robust effect are found. At thesame time, a robust region is obtained
according to the control laws, so that the defect that the robust analysiscould be carried
out only with stable models is overcome. It is verified that the robustness of PID-GPC is
strongerthan general GPC.

Key words: process control, internal model control, predictive control

摘要: Proportion integral differential generalized predictive control(PID-GPC), a new type of
generalizedpredictive control(GPC) is introduced, and its quality is analyzed with internal
model control (IMC). A veryimportant characteristic, which distinguishes GPC from ordinary
IMC, and the robust effect are found. At thesame time, a robust region is obtained
according to the control laws, so that the defect that the robust analysiscould be carried
out only with stable models is overcome. It is verified that the robustness of PID-GPC is
strongerthan general GPC.

关键词: process control;internal model control;predictive control