Designing a Neural Adaptive Control System by Method of Analytical Design of Aggregated Nonlinear Regulator for Control an Induction Motor

This paper includes the calculation and construct of a nonlinear controller using the method of analytical construct of aggregate regulators (ACAR), with subsequent modification by introducing the mechanism of artificial neural networks. Using the ACAR method allows to synthesize the control laws of nonlinear multidimensional and multiconnected objects, and together with the advantages for building control systems provided by artificial neural networks (ANN), forms a tool for building control systems for complex dynamic objects. The proposed method provides quantitative and qualitative indicators of transients of the induction motor in the presence of mechanical defects, defects of the stator and rotor windings, etc.