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基于改进DOB的矿物研磨过程最优运行先进反馈控制(英文)
引用本文:周平,向波,柴天佑.基于改进DOB的矿物研磨过程最优运行先进反馈控制(英文)[J].中国化学工程学报,2012,20(6):1206-1212.
作者姓名:周平  向波  柴天佑
作者单位:1. State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819, China;2. Automation Department, Tangshan College, Tangshan 063020, China
基金项目:Supported by the National Natural Science Foundation of China (61104084, 61290323);the Guangdong Education University-Industry Cooperation Projects (2010B090400410)
摘    要:Advanced feedback control for optimal operation of mineral grinding process is usually based on the model predictive control (MPC) dynamic optimization. Since the MPC does not handle disturbances directly by controller design, it cannot achieve satisfactory effects in controlling complex grinding processes in the presence of strong disturbances and large uncertainties. In this paper, an improved disturbance observer (DOB) based MPC advanced feedback control is proposed to control the multivariable grinding operation. The improved DOB is based on the optimal achievable H 2 performance and can deal with disturbance observation for the nonminimum-phase delay systems. In this DOB-MPC advanced feedback control, the higher-level optimizer computes the optimal operation points by maximize the profit function and passes them to the MPC level. The MPC acts as a presetting controller and is employed to generate proper pre-setpoint for the lower-level basic feedback control system. The DOB acts as a compensator and improves the operation performance by dynamically compensating the setpoints for the basic control system according to the observed various disturbances and plant uncertainties. Several simulations are performed to demonstrate the proposed control method for grinding process operation.

关 键 词:disturbance  observer  model  predictive  control  advanced  feedback  control  grinding  process  steady-state  optimization  disturbance  rejection  
收稿时间:2012-05-26

Improved Disturbance Observer (DOB) Based Advanced Feedback Control for Optimal Operation of a Mineral Grinding Process
ZHOU Ping,XIANG Bo,and CHAI Tianyou.Improved Disturbance Observer (DOB) Based Advanced Feedback Control for Optimal Operation of a Mineral Grinding Process[J].Chinese Journal of Chemical Engineering,2012,20(6):1206-1212.
Authors:ZHOU Ping  XIANG Bo  and CHAI Tianyou
Affiliation:1. State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819, China;2. Automation Department, Tangshan College, Tangshan 063020, China
Abstract:Advanced feedback control for optimal operation of mineral grinding process is usually based on the model predictive control (MPC) dynamic optimization.Since the MPC does not handle disturbances directly by controller design,it cannot achieve satisfactory effects in controlling complex grinding processes in the presence of strong disturbances and large uncertainties.In this paper,an improved disturbance observer (DOB) based MPC advanced feedback control is proposed to control the multivariable grinding operation.The improved DOB is based on the optimal achievable H2 performance and can deal with disturbance observation for the nonminimum-phase delay systems.In this DOB-MPC advanced feedback control,the higher-level optimizer computes the optimal operation points by maximize the profit function and passes them to the MPC level.The MPC acts as a presetting controller and is employed to generate proper pre-setpoint for the lower-level basic feedback control system.The DOB acts as a compensator and improves the operation performance by dynamically compensating the setpoints for the basic control system according to the observed various disturbances and plant uncertainties.Several simulations are performed to demonstrate the proposed control method for grinding process operation.
Keywords:
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