인덕션 서보모터 드라이브 시스템의 적응 고차 신경망 제어

Abstract

본 논문에서는 인덕션 서보모터 드라이브 시스템을 제어하기 위해 고차 신경망 제어기와 보상제어기를 제시하였다. In this paper, adaptive high-order neural network controller(AHONNC) is adopted to control of an induction servomotor. A algorithm is developed by combining compensation control and high-order neural networks. Moreover, an adaptive bound esitimation algorithm was proposed to estimate the bound of approximation error. The weight of the high-order neural network can be online tuned in the sense of the Lyapunov stability theorem; thus, the stability of the closed-loop system can be guaranteed. Simulation results for induction servomotor drive system are shown to confirm the validity of the proposed controller.