Design of brushless DC motor controller based on adaptive RBF neural network
T Fu, X Wang - International Journal of Control and automation, 2016 - earticle.net
Brushless DC motor (BLDCM) has been widely used in industries because of its
advantages. BLDCM control system is a nonlinear, multi-variable, strong-coupling system. It …
advantages. BLDCM control system is a nonlinear, multi-variable, strong-coupling system. It …
RBF NN based adaptive PI control of brushless DC motor
J Xiu, Y Xiu, S Wang - International Conference on Neural Information …, 2008 - Springer
The inherent nonlinear of brushless DC motor (BLDCM) makes it hard to get a good
performance by using the conventional PI controller to the speed control of BLDCM. In this …
performance by using the conventional PI controller to the speed control of BLDCM. In this …
LQR optimized BP neural network PI controller for speed control of brushless DC motor
T Wang, H Wang, H Hu… - Advances in Mechanical …, 2020 - journals.sagepub.com
This paper proposes a linear quadratic regulator (LQR) optimized back propagation neural
network (BPNN) PI controller called LN-PI for the speed control of brushless direct current …
network (BPNN) PI controller called LN-PI for the speed control of brushless direct current …
Fuzzy auto-adjust PID controller design of brushless DC motor
W Yuanxi, Y Yali, Z Guosheng, S Xiaoliang - Physics Procedia, 2012 - Elsevier
Using conventional PID control method, to guarantee the rapidity and small overshoot
dynamic and static performance of the BLDCM (brushless DC motor) system is out of the …
dynamic and static performance of the BLDCM (brushless DC motor) system is out of the …
Designing a fuzzy PID controller for brushless DC motor
YH Qian - Advanced Materials Research, 2012 - Trans Tech Publ
Based on the mathematical model of the brushless DC motor (BLDCM), a self-adaptive fuzzy
PID controller is designed to achieve high-precision speed control of motor by adopting …
PID controller is designed to achieve high-precision speed control of motor by adopting …
Design and implement of the recurrent radial basis function neural network control for brushless DC motor
SC Chen, CY Kuo - 2017 International Conference on Applied …, 2017 - ieeexplore.ieee.org
In this paper, intelligent PID neural network (IPIDNN) controller based on a recurrent radial
basis function neural network (RRBFNN) for brushless dc motor (BLDCM) speed control is …
basis function neural network (RRBFNN) for brushless dc motor (BLDCM) speed control is …
The brushless dc motor adaptive fuzzy pid servo controller design
GS Shi, L Huang, W Hu - Applied Mechanics and Materials, 2013 - Trans Tech Publ
The brushless DC motor (BLDCM) non-linear and the complexity of the working conditions
are likely to cause the conventional PID servo control performance is not satisfactory. In …
are likely to cause the conventional PID servo control performance is not satisfactory. In …
[HTML][HTML] Research on brushless DC motor control system based on fuzzy parameter adaptive PI algorithm
H Yin, W Yi, K Wang, J Guan, J Wu - AIP Advances, 2020 - pubs.aip.org
As a complex system with multiple variables, nonlinearity, and strong coupling, the BLDCM
(Brushless Direct Current Motor) has many problems, such as bad parameter tuning, poor …
(Brushless Direct Current Motor) has many problems, such as bad parameter tuning, poor …
Online fuzzy supervised learning of radial basis function neural network based speed controller for brushless DC motor
K Premkumar, BV Manikandan - Power Electronics and Renewable …, 2015 - Springer
Abstract In this paper, Online Fuzzy Logic Supervised Learning of Radial Basis Function
Neural Network (RBFNN) based speed controller for Brushless DC (BLDC) motor is …
Neural Network (RBFNN) based speed controller for Brushless DC (BLDC) motor is …