Fuzzy logic rule-based kalman filter for estimating true speed of a ground vehicle

作     者：Kobayashi, Kazuyuki Cheok, K.A.C. Watanabe, Kajiro 

作者机构：School of Engineering and Computer Science Oakland University Rochester MI 48309-4401 United States Instrument and Control Engineering Department College of Engineering Hosei University Tokyo 184 3-7-2 Kajinocho Koganei Japan 

出 版 物：《Intelligent Automation and Soft Computing》 (Intell. Autom. Soft Comp.)

年 卷 期：1995年第1卷第2期

页      面：179-190页

学科分类：08[工学] 0835[工学-软件工程] 0701[理学-数学] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Anti-lock braking Fuzzy logic Rule-based Kalman filter Traction control system True speed Measurement 

摘      要：Accurate knowledge on the true ground speed of a vehicle, if available, can be used to enhance advanced vehicle dynamics control systems such as anti-lock brake systems (ABS) and traction control systems (TCS) control schemes. This article describes a fuzzy rule-based Kalman filtering technique that employs an additional accelerometer to complement the wheel-based speed sensor, and produce a more accurate estimation of the true speed of a vehicle. Application of the fuzzy logic rule-based Kalman filter shows that better estimates of the true speed can be achieved even under significant braking skid and traction slip conditions. © 1995 Taylor & Francis Group, LLC.