TMS320 DSP based neuro-fuzzy controller

Fuzzy logic can be used to map complex nonlinear relations by a set of IF-THEN rules. The membership functions are designed by intuitive human reasoning. This poses two problems; first, for different control application a new set of membership functions have to developed and second, once these membership functions are developed and implemented there is no means of changing them. This means fuzzy logic lacks a learning function. Neural network on the other hand self-organizes the mapping relationship by learning. So by integrating neural networks and fuzzy logic it is possible to overcome these problems. Implementing this algorithm on a TMS320 DSP chip is discussed. Controlling a flexible link manipulator is taken as an example to evaluate the controller