A fuzzy controller to prevent wheel slippage in heavy duty off road vehicles

Author(s):  
J.-M. Hasemann ◽  
K. Kansala
2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Jing Zhao ◽  
Pak Kin Wong ◽  
Zhengchao Xie ◽  
Xinbo Ma ◽  
Caiyang Wei

Semiactive suspension (SAS) system has been widely used for its outstanding performance in offering competent ride quality, road holding, and handling capacity. However, the road friendliness is also one of the crucial factors that should be attached in the design of the SAS system for heavy-duty vehicles. In this study, a fuzzy controlled hybrid-acceleration driven damper (ADD) and ground hook- (GH-) control strategy is proposed for SAS system of heavy-duty vehicles. Firstly, a quarter-vehicle model with SAS system is constructed. Then, aiming to improve the ride quality and road friendliness, a hybrid-ADD and GH-control strategy is proposed under the coordination of the fuzzy controller. Numerical results show that the ride quality and road friendliness of the SAS system with the proposed control strategy outperform those with traditional hybrid-sky hook and ground hook-control strategy. It is also verified that the proposed strategy is superior to the sole ADD approach and sole ground hook approach in improving the vehicle overall performance.


2017 ◽  
Vol 25 ◽  
pp. 2375-2387 ◽  
Author(s):  
Mohamed Mustafa MOHAMED IQBAL ◽  
Rayappan JOSEPH XAVIER ◽  
Jagannathan KANAKARAJ

2008 ◽  
Vol 46 (sup1) ◽  
pp. 653-668 ◽  
Author(s):  
F. Braghin ◽  
F. Cheli ◽  
R. Corradi ◽  
G. Tomasini ◽  
E. Sabbioni
Keyword(s):  

Author(s):  
Qin Zhang

A fuzzy controller, unlike most other mathematical model-based controllers, incorporates human heuristic knowledge on how to control a plant. Since the representation of the heuristic knowledge for controlling similar plants is often the same, it is possible to design a generic fuzzy controller to control those plants. This paper presents a method for designing a generic fuzzy electrohydraulic steering controller usable for various types and/or models of wheel-type off-road vehicle. This research found that it was possible to design one generic fuzzy controller to steer different types and/or models of wheel-type vehicle having similar steering mechanisms. The only required modification was to redefine the domain of fuzzy values to make them represent the controllable range of the particular steering actuating system. Validation tests verified that this generic fuzzy controller was capable of accomplishing satisfactory steering control on five types and/or models of agricultural vehicle.


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