DocumentCode :
550437
Title :
PID controller parameter iterative learning scheme design for missile roll-tunnel model
Author :
Li Jing ; Hu Yunan
Author_Institution :
Dept. of Control Eng., Naval Aeronaut. & Astronaut. Univ., Yantai, China
fYear :
2011
fDate :
22-24 July 2011
Firstpage :
2415
Lastpage :
2418
Abstract :
In this paper, an idea of applying iterative learning control to PID controller parameter tuning was proposed on the basis of sufficient analysis to the characteristic of iterative learning control and PID controller parameter tuning. We choose the linear model around the character point of roll tunnel as the research plant, transforming the problem of PID controller parameter tuning into the problem of open-close loop iterative learning control problem. Making use of Laplace transformation, the stability of PID controller parameter iterative learning control system and the astringency of controller parameters were verified through the construct of a compress mapping arithmetic operator. A stop condition design scheme of integral type is also advanced at the end of this paper, and the iterative learning of PID controller parameter was then successfully solved. The ultimate simulation study validates the correctness and effectiveness of proposed scheme.
Keywords :
Laplace transforms; iterative methods; missile control; three-term control; Laplace transformation; PID controller parameter tuning; astringency; compress mapping arithmetic operator; iterative learning control system; iterative learning scheme design; linear model; missile roll-tunnel model; open-close loop iterative learning control problem; research plant; roll tunnel; stop condition design scheme; Conferences; Control theory; Electronic mail; Iterative methods; Robots; Robustness; Tuning; Iterative Learning Control; Open-Close Loop Learning Law; PID Controller; Parameter Adjustment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2011 30th Chinese
Conference_Location :
Yantai
ISSN :
1934-1768
Print_ISBN :
978-1-4577-0677-6
Electronic_ISBN :
1934-1768
Type :
conf
Filename :
6000775
Link To Document :
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