DocumentCode
424312
Title
Intelligence analysis and improvement of nonlinear PID based on nonlinear norm transformation
Author
Chen, Zhong ; Xu, Xin ; Wang, Shi
Author_Institution
Sch. of Inf. Sci. & Eng., Central South Univ., Changsha, China
Volume
2
fYear
2004
fDate
26-29 Aug. 2004
Firstpage
1105
Abstract
Nonlinear proportional-integral-derivative (NPID) controller is realized by modulating the control gains of a conventional linear PID controller. In order to develop the machine intelligence, the intelligence and modulating principles of P-I-D controls of NPID controller based on nonlinear norm transformation (NNTPID for short) are discussed in This work. A revision is proposed to the integral control of NNTPID and simulation results show that the improved NNTPID can accelerate the stabilizing process and reduce rising time and overshoot. As for the disadvantage of the steady output errors caused by the simulation precision or the sensitivity of measurement instruments in practical applications, a variable structure control or multimodal control strategy is also suggested.
Keywords
artificial intelligence; linear systems; multivariable control systems; nonlinear control systems; three-term control; variable structure systems; linear system; machine intelligence; multimodal control strategy; nonlinear PID control; nonlinear norm transformation; nonlinear proportional-integral-derivative control; variable structure control; Control systems; Error correction; Information science; Linear systems; Machine intelligence; Materials science and technology; Nonlinear control systems; Pi control; Proportional control; Three-term control;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN
0-7803-8403-2
Type
conf
DOI
10.1109/ICMLC.2004.1382354
Filename
1382354
Link To Document