Title :
The method of neural network PID control with prediction control
Author :
Sun, Shengqi ; Li, Xuebin ; Dong, Liang ; Gu, Shusheng
Author_Institution :
Key Lab. of Manuf. Ind. Integrated Autom., Shenyang Univ., Shenyang, China
Abstract :
This paper presents two improved training method for designing the weights of neural network PID controller, which use Clarke index function and multi-step quadratic index function to train the weights of the neural network PID controller. Therefore it makes the character of the control system better. The simulation results demonstrate the effectiveness of this method.
Keywords :
neurocontrollers; predictive control; three-term control; Clarke index function; improved training method; multistep quadratic index function; neural network PID controller; prediction control; Automatic control; Control systems; Industrial training; Laboratories; Manufacturing automation; Manufacturing industries; Neural networks; Neurons; Performance analysis; Three-term control; Clarke´s index function; Multi-step quadratic index function; Neural network PID control; Train;
Conference_Titel :
Control and Decision Conference (CCDC), 2010 Chinese
Conference_Location :
Xuzhou
Print_ISBN :
978-1-4244-5181-4
Electronic_ISBN :
978-1-4244-5182-1
DOI :
10.1109/CCDC.2010.5498765
