Abstract
The author selected neuro-fuzzy reasoning based motion control that is propulsion, dispulsion, suspension and conversion control algorithms to the mechatronically controlled intelligent vehicle. Fuzzy logic was chosen because of the following characteristics. It is easier to implement driver skills using neuro-fuzzy reasoning based motion control than using conventional motion control algorithms. It filters even the uncertainty of the precision of the sensors. Therefore, the intelligent vehicle may move as smoothly as a well-skilled or experienced human being along straight and curved routes on the hostile location or battlefield. Motion control for an intelligent vehicle requires many of the same elements that the military command, control communication and intelligence (C/sup 3/I) systems use. The all-weather and all-terrain intelligent vehicle will have two types of moving mode, IR vision-camera mode and US sonar mode, originating from the differing methods used to detect the intelligent vehicle position.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
