Title :
A Single Neuron Self-Adaptive PID Controller of Brushless DC Motor
Author :
Wang, Maoli ; Cheng, Guanghe ; Kong, Xiangxin
Author_Institution :
Shandong Comput. Sci. Center, Shandong Provincial Key Lab. of Comput. Network, Jinan, China
Abstract :
This paper presents the Neuron Self-adaptive PID control of Brushless DC (BLDC) Motor. It is difficult to tune the parameters and get satisfied control characteristics by using normal PID controller. As the single neuron has the ability of self-learning, the simple structure and it is easy for computing, In order to control the BLDC motor, a single neuron self-adaptive PID controller is designed as the controller of the BLDC motor. The experimental results verify that a single neuron self-adaptive PID controller has better control performance than the normal PID controller.
Keywords :
adaptive control; brushless DC motors; machine control; neurocontrollers; three-term control; brushless DC motor; normal PID controller; single neuron self-adaptive PID controller; Brushless DC motors; Mathematical model; Neurons; Permanent magnet motors; Torque; BLDC motor; PID; self-adaptive control; single neuron;
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2011 Third International Conference on
Conference_Location :
Shangshai
Print_ISBN :
978-1-4244-9010-3
DOI :
10.1109/ICMTMA.2011.70