DocumentCode
2737556
Title
Predictive MFCS for linear commensurate engineering mechanical systems with time delay
Author
Wang, Dazhong ; Wu, Shujing ; Okubo, Shigenori ; Wang, Zhe
Author_Institution
Shanghai Univ. of Eng. Sci., Shanghai, China
Volume
2
fYear
2009
fDate
20-22 Nov. 2009
Firstpage
586
Lastpage
590
Abstract
We can design linear predictive model following control system (PMFCS) with commensurate time-delay whose internal states are bounded. Time-delay widely exists among controlled objects in computer control processes, power systems, chemical processing systems, metallurgical processing systems, environmental systems and communication systems transmission systems and other industrial production activities [Hollot, et.al; 2002] ~ [Azuma, et.al; 1998], and makes it difficult to evaluate effects of control system input signals in time, which will ineluctably deteriorate performance of the control system in automatically removing outside disturbances, and influence stability of the system. This paper discusses a design of PMFCS for the linear commensurate time-delay based on the model following control theory proposed by Okubo [1992], and is thus considered to be innovative and applicable. It is confirmed on basis of a numerical example that the output signal of the control system asymptotically follows the reference model signal in the case of the existence of disturbances.
Keywords
delays; nonlinear control systems; predictive control; commensurate engineering mechanical systems; linear predictive control; model following control; time delay; Automatic control; Chemical industry; Communication system control; Control system synthesis; Control systems; Delay effects; Mechanical systems; Power engineering and energy; Power system control; Systems engineering and theory; bounded; commensurate time delay; disturbances; internal states; predictive model following control system (PMFCS);
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-4754-1
Electronic_ISBN
978-1-4244-4738-1
Type
conf
DOI
10.1109/ICICISYS.2009.5358321
Filename
5358321
Link To Document