Application of fuzzy neural network in the speed control system of induction motor

2011 ◽  
Author(s):  
Li Yi ◽  
Pu Yonghong
Keyword(s):  
Neural Network ◽  
Control System ◽  
Induction Motor ◽  
Fuzzy Neural Network ◽  
Speed Control ◽  
Speed Control System ◽  
Fuzzy Neural

Robust control for permanent magnet in-wheel motor in electric vehicles using adaptive fuzzy neural network with inverse system decoupling

2018 ◽  
Vol 42 (3) ◽  
pp. 286-297 ◽  
Author(s):  
Yong Li ◽  
Bohan Zhang ◽  
Xing Xu
Keyword(s):  
Neural Network ◽  
Control System ◽  
Permanent Magnet ◽  
Fuzzy Neural Network ◽  
Speed Control ◽  
Inverse System ◽  
Adaptive Fuzzy Neural Network ◽  
Adaptive Fuzzy ◽  
Speed Control System ◽  
Fuzzy Neural

To eliminate the chattering phenomenon and effectively enhance the robustness and dynamic response of the speed control system of a permanent magnet in-wheel motor (PMIWM), a novel decoupling approach is proposed. The speed control system of the PMIWM is analyzed and modeled. By introducing the inverse model into the original PMIWM system, a new decoupling pseudo-linear system is established. A control method based on adaptive fuzzy neural network (AFNN) is investigated to obtain an accurate speed trajectory. The inverse system control approach is introduced into the AFNN-based control system. The PMIWM speed is decoupled completely by the proposed adaptive fuzzy neural network inverse (AFNNI) method. Experiments are carried out on a hardware-in-the-loop (HIL) test bench. Compared with traditional PID control scheme, the proposed AFNNI control strategy can realize a better speed control performance and ensure the robust stability of the PMIWM, even though the motor may suffer from both sudden change in velocity and severe variation under different drive cycles.

Research on Intelligent Variable Frequency of Air-Conditioner Control System Based on Fuzzy Control

2011 ◽  
Vol 110-116 ◽  
pp. 4076-4084
Author(s):  
Hai Cun Du
Keyword(s):  
Neural Network ◽  
Control System ◽  
Fuzzy Control ◽  
Fuzzy Neural Network ◽  
Air Conditioner ◽  
Neural Network Controller ◽  
The Neural Network ◽  
Network Controller ◽  
Fuzzy Neural ◽  
Fuzzy Control Strategy

In this paper, we determine the fuzzy control strategy of inverter air conditioner, the fuzzy control model structure, the neural network and fuzzy control technology, structural design of the fuzzy neural network controller as well as the neural network predictor FNNC NNP. Simulation results show that the fuzzy neural network controller can control the accuracy greatly improved the compressor, and the control system has strong adaptability to achieve a truly intelligent; model of the controller design and implementation of technology are mainly from the practical point of view, which is practical and feasible.

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