NDLI: Neuro fuzzy optimal transmission control for automobile with variable loads

Content Provider	IEEE Xplore Digital Library
Author	Hayashi, K. Shimizu, Y. Nakamura, S. Dote, Y. Takayama, A. Hirako, A.
Copyright Year	1993
Description	Author affiliation: Dept. of Comput. Sci. & Syst. Eng., Muroran Inst. of Technol., Japan (Hayashi, K.; Shimizu, Y.; Nakamura, S.; Dote, Y.)
Abstract	An optimal transmission controller for an automobile with variable loads is designed and tested by using a transmission system (Isuzu NAVi-5) which consists of actuators and sensors beside gears, a throttle and a clutch. This system engages and disengages the clutch and gears up and down automatically. In other words a manual gear shift system is automated. As neuro and fuzzy approaches are promising methods to interface between a vehicle operator and an automobile, they are used to design an optimal transmission controller. The automobile loads are estimated from the signals of the status sensors by fuzzy logic. The vehicle operator's intention is inferred by fuzzy logic using the information from the automobile status sensors on which the operator's intention is reflected. Then, these are fed into a neural network. An experienced driver (a lot of data) teaches the neural network an optimal gear shift scheduling such that a vehicle operator feels comfortable even when the automobile loads change (for example when an automobile is traveling up and down hill).
Starting Page	430
Ending Page	434
File Size	327343
Page Count	5
File Format	PDF
ISBN	0780308913
DOI	10.1109/IECON.1993.339039
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1993-11-15
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy control Optimal control Automobiles Gears Automatic control Vehicles Fuzzy logic Neural networks Control systems System testing
Content Type	Text
Resource Type	Article

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