Title :
A single neuron PID controller based on immune tuning and it´s application
Author :
Wang, Wei ; Gao, X.Z.
Author_Institution :
Coll. of Mech. & Electr. Eng., Northeast Forestry Univ., Harbin, China
Abstract :
To overcome the drawback of the single neuron Proportional-Integral-Derivative (PID) control algorithm, a new immune-based single neuron PID controller is proposed and discussed in this paper. Based on the fusion of the T cell immune tuning mechanism for the single neuron PID control technique, the learning rate, dynamic response, and performance of our single neuron PID controller have been greatly improved. The tracking, anti-disturbance, and DC motor servocontrol capabilities of the immune-based single neuron PID controller are also analyzed. The simulation results show that its learning rate is fast, and its dynamic response time is short. This novel algorithm has a strong robustness and self-adaptation with a better control performance than that of the regular single neuron PID controller.
Keywords :
control system synthesis; dynamic response; neurocontrollers; robust control; three-term control; dynamic response; immune tuning; learning rate; proportional-integral-derivative; robustness; single neuron PID controller; Control systems; DC motors; Immune system; Neurons; Process control; Simulation; Tuning; DC motor control; Immune tuning; Proportional-Integral-Derivative control; single neuron control;
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
DOI :
10.1109/ICNC.2010.5583514