scholarly journals A steering control strategy based on torque fuzzy compensation for dual electric tracked vehicle

Filomat ◽  
2018 ◽  
Vol 32 (5) ◽  
pp. 1953-1963 ◽  
Author(s):  
Pei Li ◽  
Jun Yan ◽  
Qunzhang Tu ◽  
Ming Pan ◽  
Chengming Jiang
Keyword(s):  
Control Strategy ◽  
Direct Torque Control ◽  
Torque Control ◽  
Steering Wheel ◽  
Steering Control ◽  
Tracked Vehicle ◽  
Motor Torque ◽  
Acceleration Signal ◽  
Torque Control Strategy ◽  
Hardware In Loop

A steering control strategy based on bilateral torque fuzzy compensation for dual electric tracked vehicle is proposed in this paper. After the dynamic analysis of tracked vehicles, the mapping relationship between acceleration signal, braking signal, steering signal and bilateral motor torque is established. According to different driving states, the steering wheel real-time rotation angle and its change rate are interpreted as the motor torque compensation coefficients K1 and K2 by fuzzy algorithm to achieve quick response of driving intention. The steering control model of the electric tracked vehicle is built, and the HILS (hardware in loop simulation) platform is constructed with dSPACE. The HILS result shows that, by torque fuzzy compensation strategy, steering sensitivity and controllability could get better improvement compared with direct torque control strategy.

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%.

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