| Title |
Adaptive High-Order Neural Network Control of Induction Servomotor System |
| Authors |
김도우(Kim, Do-Woo) ; 정기철(Chung, Ki-Chull) ; 이승학(Lee, Seng-Hak) |
| Keywords |
Induction Servomotor Drive System ; High-order Neural Network Controller ; Adaptive Control |
| Abstract |
In this paper, adaptive high-order neural network controller(AHONNC) is adopted to control an induction servomotor. A algorithm is developed by combining compensation control and high-order neural networks. Moreover, an adaptive bound estimation 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. |