Fuzzy logic control for a lifting machine.

摘要

Weight training is slowly being transferred from regular gyms to homes, where individuals usually train alone. Regular home gyms in the market today do not satisfy most professional trainers' recommendation that a partner must be present during weight-lifting exercises. A new weight machine that can help "spot" the trainee is needed to provide this "partner." This new machine would be the first in a new generation of fitness equipment.; This thesis investigates the feasibility of applying a fuzzy algorithm in a microcontroller-based DC motor controller to simulate the free weight and the partner. Such a machine would help a user enjoy most, if not all, of the privileges he or she would receive in a regular gym.; Fuzzy logic controllers are a relatively new development in control systems technology. They would appear to have their best application in cases in which the objective is to develop control characteristics that are close to those achievable by a human operator. Although fuzzy logic may seem to imply imprecision, it is based on a reliable and rigorous discipline. So far as the author is aware, no one has connected the need for the human-like control qualities of the "spotter" with the newly emerging technology offered by fuzzy logic.; This new machine was designed around a permanent magnet DC motor run by a constant current source. Fuzzy algorithms were used to control the motor and to provide an intelligent "partner." Fuzzy rules were simplified to allow usage of a look-up table that was implemented with an 8-bit microcontroller, Microchip's PIC16C57. The complete unit was then tested, with very satisfactory results, and tuned for optimal performance.