Neural network optimizing sliding mode controller

摘要

The neural network optimizing sliding mode controller includes an adaptive SMC that overcomes the limitations imposed on the effectiveness of the SMC under different operating conditions. Neural networks are used for on-line prediction of the optimal SMC gains when the operating point changes. The controller can be applied to a power system stabilizer (PSS) of a single machine power system. Simulation results demonstrate the effective performance of the neural network optimizing sliding mode controller.