Stable adaptive fuzzy control of an electric drive system

Stable adaptive fuzzy control is a relatively new approach in the field of adaptive fuzzy control. By using Lyapunov-based learning algorithms, stable adaptive fuzzy controllers can ensure stability of the control loop and well-defined behaviour of the plant output, which is a significant advantage over common gradient-based algorithms. However, to the authors´ knowledge, no practical implementations of this concept have been reported yet. In this paper an experimental application of stable adaptive fuzzy control is described: the concept is applied to control an electric drive system with a nonlinear load characteristic. Some practical issues, like discrete-time implementation and selection of the design parameters, are discussed