Based on Adaptive Fuzzy PI DTC of Double Wheeled Electric Vehicle Drive Control

2014 ◽  
Vol 953-954 ◽  
pp. 1359-1362 ◽  
Author(s):  
Ya Jun Han ◽  
De Yin Du ◽  
Bao Fan Chen
Keyword(s):  
Electric Vehicle ◽  
Dynamic Error ◽  
Direct Torque Control ◽  
Torque Control ◽  
System Stability ◽  
Differential Analysis ◽  
Tracking Accuracy ◽  
Drive Control ◽  
The Stability ◽  
Differential Control

In order to improve the stability of an electric vehicle on different road conditions, this paper puts forward a fuzzy PI direct torque control of an adaptive, through the electronic differential control, the parameters of two high torque motor is adjusted dynamically, so as to replace the traditional mechanical differential. Analysis for system stability, the simulation results show that, with Matlab/Simulink, in a different way, this method can obtain good steady-state tracking accuracy and small dynamic error integral.

Sensorless Grey Prediction Fuzzy Direct Torque Control for High-Speed Permanent Magnet Synchronous Motor

2012 ◽  
Vol 220-223 ◽  
pp. 1040-1043
Author(s):  
Hong Cui ◽  
You Qing Gao
Keyword(s):  
Permanent Magnet ◽  
High Speed ◽  
High Performance ◽  
Permanent Magnet Synchronous Motor ◽  
Direct Torque Control ◽  
Synchronous Motor ◽  
Torque Control ◽  
Adjustment Process ◽  
Grey Prediction ◽  
The Stability

High-speed permanent magnet synchronous motor (PMSM) is more and more widely applied in high precision processing and high-performance machines. It is very important to research practical control strategy for the stability operation of the high-speed PMSM. The strategy of sensorless grey prediction fuzzy direct torque control (DTC) is proposed which is suitable for high-speed PMSM control system. The method of prediction fuzzy control based on DTC is used to gain the flux, torque and flux oriented angle through the prediction model of the motor parameters. The best control scheme is gained by fuzzy reasoning to overcome the lag on the system making the adjustment process stable and realizing accurate predictive control. Thereby, the dynamic response of the system, anti-disturbance capability and control accuracy can be improved.

Research on Indirect Stator-Quantities Sliding Model Control for Induction Motor

2011 ◽  
Vol 291-294 ◽  
pp. 2871-2874
Author(s):  
Li Hua Zou
Keyword(s):  
Induction Motor ◽  
Direct Torque Control ◽  
Torque Ripple ◽  
Torque Control ◽  
Frequency Error ◽  
Model Control ◽  
Stable Performance ◽  
The Stability ◽  
Slip Frequency ◽  
Frequency Controller

In direct torque control system for induction motor, the system has big torque ripple and strong noise caused by torque ripple. In indirect stator-quantities control, a slip frequency controller, based on power frequency exponent integration reaching law sliding model, is adopted by using practical measure velocity and calculation torque of motor flux model. The slip frequency error is fast convergent and stable in the nearby zero value, the method reduces torque ripple and improve dynamic and stable performance. The stability analysis of the scheme is given by using Lyapunov method. The simulation results verify the effectiveness and correctness of the method.

Investigation of Motor-Generator Integration System for Electric Vehicle Based on Induction Motor and Fuzzy Control

2011 ◽  
Vol 328-330 ◽  
pp. 2172-2180 ◽  
Author(s):  
Zhi Long Xing ◽  
Yang Liu ◽  
Yun Feng Liu
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Induction Motor ◽  
Electric Vehicle ◽  
Control Strategy ◽  
Energy Recovery ◽  
Direct Torque Control ◽  
Torque Control ◽  
Torque Control Strategy ◽  
Ac Induction Motor

Aiming to solve the energy saving problem in modern electric vehicle, we propose a motor-generator integration control system based on the induction motor and the fuzzy control theory in this paper. A motor-generator hardware platform is built up using the four quadrant characteristic of AC induction motor. The AC induction motor works both as driving motor of the electric vehicle and as well as the energy recovery generator. Specifically, the fuzzy direct torque control strategy is adopted in the motor state, and fuzzy instantaneous torque control strategy in power generation state. A simulation is carried out to analyze the practicality of the proposed control method, the simulation results show that the fuzzy torque control technology is well performed. Finally, a simulative energy recovery experimental platform is built up to test the proposed integration control system, and results shown that the efficiency of energy recovery could be up to 97.3%.

Regenerative braking of electric vehicle using a modified direct torque control and adaptive control theory

2018 ◽  
Vol 69 ◽  
pp. 85-97 ◽  
Author(s):  
Shiva Geraee ◽  
Hamed Mohammadbagherpoor ◽  
Mehdi Shafiei ◽  
Majid Valizadeh ◽  
Farshad Montazeri ◽  
...  
Keyword(s):  
Adaptive Control ◽  
Control Theory ◽  
Electric Vehicle ◽  
Direct Torque Control ◽  
Torque Control ◽  
Regenerative Braking
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