DocumentCode
1657960
Title
A Non-linear PID Controller Approach Based on Variables Optimized and GRNN
Author
Yi, Chai ; Rui, Ling
Author_Institution
Chongqing Univ., Chongqing
fYear
2007
Firstpage
237
Lastpage
240
Abstract
According to the non-linear mapping relations between PID controller each control variable and error, design non-linear PID controller. Optimizing controlled variables by using the genetic algorithm partition in each separated errors, and using the GRNN neural network to approach each controlled variable and structure their optimized continuous variable curves based on the errors. The simulation result indicated proposed the control algorithm has the good rapidity and the stability.
Keywords
control system synthesis; genetic algorithms; neural nets; nonlinear control systems; three-term control; GRNN neural network; controlled variables; controller design; genetic algorithm; nonlinear PID controller; nonlinear mapping relation; Automatic control; Design automation; Design optimization; Educational institutions; Error correction; Genetic algorithms; Neural networks; Partitioning algorithms; Stability; Three-term control; GRNN; Genetic Algorithm; Non-linear PID;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference, 2007. CCC 2007. Chinese
Conference_Location
Hunan
Print_ISBN
978-7-81124-055-9
Electronic_ISBN
978-7-900719-22-5
Type
conf
DOI
10.1109/CHICC.2006.4347622
Filename
4347622
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