Date of Award
Electrical and Computer Engineering
Soltis, J. J.,
Engineering, Electronics and Electrical.
CC BY-NC-ND 4.0
Fuzzy Logic implementation is becoming increasingly important, and finding applications in diverse areas of current interest, such as control, pattern recognition, robotics, and other decision making applications. Fuzzy decision process offer a significant advantage over crisp decision process which is the ability to process different levels of truth instead of only 1 or 0 levels. Fuzzy Logic does not require precise inputs, it is inherently robust, and can process any reasonable number of inputs but system complexity increases rapidly with more inputs and outputs. Distributed processors would probably be easier to implement. Simple, plain-language IF X AND Y THEN Z rules are used to describe the desired system response in terms of linguistic variables rather than mathematical formulas. The number of these is dependent on the number of inputs, outputs, and the designer's control response goals. The new Motorola 68HC12 MCU has an embedded fuzzy logic instruction set. Using this instruction set, we can implement complex fuzzy logic systems using only a few hundred bytes of ROM that cycle compute in less than a millisecond. Considering the fact that the fuzzy logic instruction set of the 68HC 12, enables the use of fuzzy logic in mass-market high-speed applications, such as car engine control, anti-skid brakes, traction control, inter-vehicle dynamics control, hard disk drive control, servo motor control, and cellular phones. This thesis deals with the design of Automotive Airbag Control System a using Fuzzy Logic based decision structure and implementation using the 68HC12 microcontroller.Dept. of Electrical and Computer Engineering. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis1999 .M52. Source: Masters Abstracts International, Volume: 39-02, page: 0566. Adviser: J. J. Soltis. Thesis (M.A.Sc.)--University of Windsor (Canada), 2000.
Mian, Tariq Mahmood., "Fuzzy logic-based automotive airbag control system." (2000). Electronic Theses and Dissertations. 2183.