Adaptive PID Controller Based on Additional Error of an Inversed-Control Signal for Improved Performance of Brushless DC Motor

被引:0
作者
Rif'an, Muhammad [1 ]
Yusivar, Feri [1 ]
Kusumoputro, Benyamin [1 ]
机构
[1] Univ Indonesia, Fac Engn, Dept Elect Engn, Depok, Indonesia
来源
2017 15TH INTERNATIONAL CONFERENCE ON QUALITY IN RESEARCH (QIR) - INTERNATIONAL SYMPOSIUM ON ELECTRICAL AND COMPUTER ENGINEERING | 2017年
关键词
Adaptive PID; Single Neuron PID; Neural Network; BLDC; BLDC MOTOR; DESIGN; DRIVES; IMPLEMENTATION;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The Brushless DC (BLDC) motors are widely used for many industrial applications because of their high efficiency, high torque and low volume. However, the BLDC motor is a multi-variable and non-linear system, so it is difficult to get a satisfying result for BLDC motor using the conventional linear control method like normal PID controller. This paper presents the development and performance analysis of adaptive PID controller Based on Additional Error of an Inversed-Control Signal for Brushless DC motor drives. The adaptive PID controller Based on Additional Error of an Inversed-Control Signal have a parameter adjustment mechanism, better solutions when there are variations in process parameters, learning capabilities and fault tolerance. This paper implements adaptive PID controller Based on Additional Error of an Inversed-Control Signal to solve the problems of non-linearity, parameter variations and load excursions that occur in BLDC motor drive systems. The performance of the traditional PID controller based speed control method is compared with the model reference based speed control for BLDC motor drive system using MATLAB software. Experimental results is presented to prove that the adaptive PID controller Based on Additional Error of an Inversed-Control Signal is capable of speed tracking as well as reduce the effect of parameter variations.
引用
收藏
页码:315 / 320
页数:6
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