title: Variable structure intelligent control for PM synchronous servo motor drive
abstract: The variable structure control (VSC) of discrete time systems based on intelligent control is presented in this paper. A novel approach is proposed for the state estimation. A linear observer is firstly designed. Then a neural network is used for compensating uncertainty. The parameter of the VSC scheme is adjusted online by a neural network. Practical operating results from a PM synchronous motor (PMSM) illustrate the effectiveness and practicability of the proposed approach
keyphrases: variable structure intelligent control PM synchronous servo motor drive discrete time systems state estimation linear observer neural network control design uncertainty compensation control performance