NDLI: Construction pruning for twice optimal control of pure integrating process with long time delay

Content Provider	IEEE Xplore Digital Library
Author	Bo Ban Qinruo Wang Guobo Xiang
Copyright Year	2015
Description	Author affiliation: Fac. of Autom., Guangdong Univ. of Technol., Guangzhou, China (Bo Ban; Qinruo Wang) \|\| Sch. of Autom., Wuhan Univ. of Technol., Wuhan, China (Guobo Xiang)
Abstract	Developing a control strategy with a strong robustness for system with long time delay is a hot problem, especially a fast settling during set point response and strong rejection for load disturbance. An optimal control method, namely, Twice Optimal Control(TOC) achieved strong robust control for this system through constructing an infinite-dimensional state observer and a proportion-integration(PI) controller. However, when system response is sped up, the transient process presented intense oscillation due to system's insufficient damping in middle-low frequency. To solve this problem, this paper introduces a construction pruning factor to TOC system. Notice that system damping is increased, response speed will be slowed down. Then the contraction operator and the open-loop gain of TOC system are proposed to be readjusted to make sure desired response speed and disturbance rejection. In order to demonstrate the performance of proposed method, comparative simulations are carried out and analyzed through system with an integrator plus time delay(IPTD).
Starting Page	2782
Ending Page	2788
File Size	572354
Page Count	7
File Format	PDF
e-ISBN	9781479970179
DOI	10.1109/CCDC.2015.7162402
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-05-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Damping Systems with time-delays Delay effects Modified Twice optimal control Optimal control Process control Observers Twice optimal control Robustness Petroleum industries Construction pruning factor
Content Type	Text
Resource Type	Article

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