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In this study, we describe the design and hardware implementation of a real-time fuzzy logic controller for a nontrivial nonlinear system control application, balancing a beam-and-ball system in real time. <p> Unlike most of the optimal or conventional control techniques, our in-house built fuzzy logic controller requires no explicit system parameters, such as mass, torque etc., and it is characterized by its simplicity. A hardware prototyping system is built and the experimental results demonstrate the robustness of the controller. A comparative study reveals that the fuzzy logic controller outperforms optimal control based algorithm and in most cases outperforms trained human operators as well. </p> <p>*This beam-and-ball system was demonstrated in the World Congress Neural Network Conference in San Diego in June 1994 and it was given an Industrial Neural Network Award. A video tape of the demonstration can be obtained from the first author.</p>
Fuzzy hardware, fuzzy logic controller, nonlinear system control
Yuandong Ji, Hua Harry Li, Nowell Godfrey, "A Fuzzy Logic Beam-and-Ball Controller Prototype", IEEE Micro, vol. 15, no. , pp. W33-W39, December 1995, doi:10.1109/MM.1995.476263
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