DocumentCode :
3161258
Title :
Analytical Design and Tuning Method of Multivariable controller for Multi-input-Multi-output (MIMO) Processes
Author :
Chen, Peiying ; Liu, Yuanyuan ; Zhang, Weidong ; Bao, Jie
Author_Institution :
Shanghai Jiaotong Univ., Shanghai
fYear :
2007
fDate :
9-13 July 2007
Firstpage :
651
Lastpage :
656
Abstract :
This paper proposes a new analytical method for multivariable control design for a class of stable linear multi-input-multi-output (MIMO) processes. By using the unity feedback structure, a multivariable controller with full matrix form is derived based on internal model control (IMC) theory. The proposed design approach provides a single adjustable parameter for each control loop. Two analytical computation methods are developed to obtain the control parameters according to the robust stability condition and nominal performance. Simulation results are presented to demonstrate the effectiveness of the proposed control and tuning scheme.
Keywords :
MIMO systems; control system analysis; control system synthesis; feedback; multivariable control systems; internal model control; multi-input-multi-output process; multivariable control design; multivariable controller; robust stability condition; unity feedback structure; Approximation error; Automation; Cities and towns; Control systems; Design methodology; Feedback; MIMO; Optimal control; Robust stability; System performance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2007. ACC '07
Conference_Location :
New York, NY
ISSN :
0743-1619
Print_ISBN :
1-4244-0988-8
Electronic_ISBN :
0743-1619
Type :
conf
DOI :
10.1109/ACC.2007.4282312
Filename :
4282312
Link To Document :
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