Adaptive Recurrent Network Network Uncertainty Observer Based Integral Backstepping Control for a PMSM Drive System
نویسندگان
چکیده
منابع مشابه
Adaptive Wavelet Neural Network Backstepping Sliding Mode Tracking Control for PMSM Drive System
This paper presents a wavelet neural network backstepping sliding mode controller (WNNBSSM) for permanentmagnet synchronous motor (PMSM) position servo control system. Backstepping sliding mode (BSSM) is utilized to guarantee favorable tracking performance and stability of the whole system, meanwhile, wavelet neural network (WNN) is used for approximating nonlinear uncertainties. The designed c...
متن کاملHigh-Precision Intelligent Adaptive Backstepping H∞ Control for PMSM Servo Drive Using Dynamic Recurrent Fuzzy-Wavelet- Neural-Network
This paper proposes a high-precision intelligent adaptive backstepping control system (HPIABCS) for the position control of permanent-magnet synchronous motor (PMSM) servo drive. The HPIABCS incorporates an ideal backstepping controller, a dynamic recurrent-fuzzy-wavelet-neural-network (DRFWNN) uncertainty observer and a robust H∞ controller. First, a backstepping position controller is designe...
متن کاملHybrid Recurrent Wavelet Neural Network Control of PMSM Servo-Drive System for Electric Scooter
Due to nonlinear uncertainties of the electric scooter such as nonlinear friction force of the transmission belt and clutch, these will lead to degenerate tracking responses in command current and speed of the permanent magnet synchronous motor (PMSM) servo-driven electric scooter. In this study a novel hybrid recurrent wavelet neural network (HRWNN) control system is proposed to raise robustne...
متن کاملRobust Petri Recurrent-Fuzzy-Neural-Network Sliding-Mode Control for Micro-PMSM Servo Drive System
This paper proposes an intelligent hybrid control system (IHCS) for identification and control of micro-permanent-magnet synchronous motor (micro-PMSM) servo drive to achieve high precision tracking performance. Based on the principle of computed torque control (CTC), a position tracking controller is designed and analyzed. Moreover, to relax the requirement of the lumped uncertainty, an IHCS i...
متن کاملAdaptive Control Using a Recurrent Neural Network Observer
A new recurrent neural network approach for on line adaptive control is presented. The resulting control scheme matches both the conventional and neural control methods. Using input-output data, a modified recurrent Elman’s network is trained to model a general non-linear discrete time system. By assuming a linearisation of this neural model a time varying adaptive observer is derived. Therefor...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Power Electronics and Drive Systems (IJPEDS)
سال: 2012
ISSN: 2088-8694,2088-8694
DOI: 10.11591/ijpeds.v2i2.260