Fuzzy logic control of an electrohydraulic valve for auto-steering off-road vehicles

Abstract

Most off-road vehicles employ fluid power to actuate their steering system. Although the actual force that turns the wheels is exerted by hydraulic cylinders, the critical element of a steering control system is the directional control valve. Auto-steering control is typically achieved by sending electrical signals to the valve solenoid drivers. A fuzzy logic controller was designed to create such steering signals. The fuzzy control algorithm was implemented in a hardware-in-the-loop electrohydraulic steering simulator. A set of 25 logic rules was defined to represent the four types of valve characteristic curve observed in different steering operations. The performance of the steering system depended on both the steering signal characteristics and the controller functionalities. The results obtained from this research provided some fundamental information for designing high-performance electrohydraulic steering controllers for autonomous off-road vehicles.

Keywords

electrohydraulics control systems hydraulic valves auto-steering fuzzy logic valve deadband off-road vehicles

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References

Tan

Tomizuka

Discrete-time controller design for robust vehicle traction. IEEE Control Systems Mag., 1990, 10, 107–113.

Rovira-Más

Zhang

Reid

J. F.

Will

J. D.

Hough-transform-based vision algorithm for crop row detection of an automated agricultural vehicle. Proc. IMechE Part D: J. Automobile Engineering, 2005, 219, 999–1010.

Kise

Zhang

Rovira-Más

A stereo-vision-based crop row detection method for tractor-automated guidance. Biosystems Engng, 2005, 90(4), 357–367.

Benson

E. R.

Reid

J. F.

Zhang

Machine vision based steering system for agricultural combines. ASAE paper 011159, 2001.

Rovira-Más

Han

Wei

Reid

J. F.

Edge detection for autonomous guidance of a corn harvester using stereovision. In Proceedings of the Conference on Automatic technology for off-road equipment (ATOE 2006), 2006, pp. 171–181 (Landtechnik Weihenstephan, Bonn, Germany).

Hodge

N. E.

Trabia

M. B.

Steering fuzzy logic controller for an autonomous vehicle. In Proceedings of the IEEE International Conference on Robotics and automation, 1999, pp. 2482–2488 (IEEE, New York).

Zhang

Reid

J. F.

Benson

E. R.

Model recognition and validation for an off-road vehicle electrohydraulic steering controller. Mechatronics, 2002, 12, 845–858.

Rovira-Más

Zhang

Hansen

A. C.

Dynamic behavior of an electrohydraulic valve: Typology of characteristic curves. Mechatronics, 2007, 17, 551–561.

Zhang

Reid

J. F.

Hardware-in-the-loop simulator of an off-road vehicle electrohydraulic steering system. Trans. ASAE, 2000, 43(6), 1323–1330.

10.

Qiu

Zhang

Feedforward-plus-proportional-integral-derivative controller for an off-road vehicle electrohydraulic steering system. Proc. Instn Mech. Engrs Part D: J. Automobile Engineering, 2003, 217, 375–382.

11.

Rovira-Más

Han

Wei

Reid

J. F.

Fuzzy logic model for sensor fusion of machine vision and GPS in autonomous navigation. ASAE paper 051156, 2005.

12.

Zhang

A generic fuzzy electrohydraulic steering controller for off-road vehicles. Proc. Instn Mech. Engrs Part D: J. Automobile Engineering, 2003, 217, 791–799.