控制理论(社会学)
扭矩
扭矩转向
补偿(心理学)
模糊逻辑
模糊控制系统
方向盘
可控性
加速度
计算机科学
信号(编程语言)
电动汽车
偏航
控制工程
工程类
汽车工程
控制(管理)
人工智能
数学
功率(物理)
物理
热力学
经典力学
程序设计语言
量子力学
应用数学
心理学
精神分析
作者
Pei Li,Jun Yan,Qunzhang Tu,Ming Pan,Cheng-Ming Jiang
出处
期刊:Filomat
[National Library of Serbia]
日期:2018-01-01
卷期号:32 (5): 1953-1963
被引量:2
摘要
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.
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