| Abstract |
The authors present an Adaptive Fuzzy Controller for AC motor speed regulation with a particular form of self-adaption without reference model, and therefore with a low computational algorithm. The control continuously measures the dynamic characteristics of the system, given by total accumulated error between set value and real speed, and uses it to vary fuzzy system parameters, in this case physical shape of membership fuzzy functions. the developed controller has been compared with other classical controls, as standard non-adaptive PID control and fuzzy control. Simulated results presented in the paper demonstrate that this algorithm is better than other classical PID and fuzzy controls, in terms of the performance selected index, the Integral of Absolute Error, IAE, which it should tend to minimum imposed by the constant time of the physical system. as is also shown, the algorithm is more robust than those others in front of plant parameters changes, specifically, the moment of inertia and the load torque. The dynamic simulation results of the whole drive are supported with experimental data. |
