Title :
A Non-linear PID Controller Approach Based on Variables Optimized and GRNN
Author :
Yi, Chai ; Rui, Ling
Author_Institution :
Chongqing Univ., Chongqing
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;
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
DOI :
10.1109/CHICC.2006.4347622
