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A Novel Real-Time Human Operator Performance Model for Performing Adaptive System Design

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan

Citation:  Pp. 287-306 in Automation Technology for Off-Road Equipment, Proceedings of the July 26-27, 2002 Conference (Chicago, Illinois, USA)  701P0502.(doi:10.13031/2013.10019)
Authors:   William R. Norris, Ramavarapu Sreenivas, Qin Zhang
Keywords:   Automatic Steering Control and Guidance, Controllers, Decision Making, Off Road Vehicles, Electro-Hydraulics, Fuzzy Logic, Expert Systems, Software Support for Vehicle Automation

The objective of this paper is to demonstrate the development of a tool used in a design framework for performing real time human-in-the-loop system design using virtual environments. The design framework, known as virtual design tools, requires a human operator performance model (HOPM) component. The model aids in the development of adaptive optimal solutions for qualitative design by providing consistent control decisions. This paper presents the design process for a controller that emulates real-time human operator perception and experience for automatic control applications using fuzzy logic. The design technique was successfully applied to a four degree of freedom articulated wheel loader with the task of following a desired trajectory. Variable driving styles were obtainable by altering the HOPM's perception while maintaining a fixed common sense rule-base. The success of this technique demonstrates that it is applicable to a wide range of human-in-the-loop problems and in intelligent vehicle algorithm development.

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