Title :
Tuning of PID parameters using artificial neural network
Author :
Nisha ; Mittal, Avneesh ; Sharma, O.P. ; Dhyani, Nitu ; Sharma, Vijay ; Kapoor, Avinashi ; Saxena, T.K.
Author_Institution :
Dept. of Electron., Univ. of Delhi South Campus, New Delhi, India
Abstract :
Tuning of the PID controller in a varying environment is extremely difficult. For this purpose one has to use the adaptive PID controller. In the present paper a novel method for fast tuning of the PID controller has been presented and implemented on designed and developed hardware around the 89C51 microcontroller. Varying environment in the very old existing MLW-MK70, former East German bath has been created with the help of two microcontrollers. The artificial neural network (ANN) has been used to tune the PID parameters. The software has been written in Visual BASIC 5.0 language.
Keywords :
Visual BASIC; adaptive control; control engineering computing; microcontrollers; neurocontrollers; three-term control; 89C51 microcontroller; MLW-MK70; PID parameter tuning; Visual BASIC5.0 language; adaptive PID controller; artificial neural network; Adaptive control; Artificial neural networks; Automatic control; Hardware; Microcontrollers; Neurons; PD control; Programmable control; Temperature control; Three-term control; Adaptive Control; Artificial Neural Network (ANN); PID; Temperature Controller;
Conference_Titel :
Multimedia, Signal Processing and Communication Technologies, 2009. IMPACT '09. International
Conference_Location :
Aligarh
Print_ISBN :
978-1-4244-3602-6
Electronic_ISBN :
978-1-4244-3604-0
DOI :
10.1109/MSPCT.2009.5164237
