Neural network-based integral sliding mode backstepping control for virtual synchronous generators
نویسندگان
چکیده
منابع مشابه
Robust Backstepping Control of Induction Motor Drives Using Artificial Neural Networks and Sliding Mode Flux Observers
In this paper, using the three-phase induction motor fifth order model in a stationary twoaxis reference frame with stator current and rotor flux as state variables, a conventional backsteppingcontroller is first designed for speed and rotor flux control of an induction motor drive. Then in orderto make the control system stable and robust against all electromechanical parameter uncertainties a...
متن کاملAdaptive 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 کاملDesign and Implementaion of Interior Permanent Magnet Synchronous Motor (IPMSM) Control based on Integral Terminal Sliding Mode Technique
Permanent Magnet Synchronous Motor because of high energy storage capability is very important in electrical drive industry. Speed control of this motor suffers from parameter variations such as variable inductance. In this paper, The Integral-Terminal Sliding Mode Control (ITSMC) method is used to control the speed (torque) along with d-axis current control. This method is like to classic slid...
متن کاملNeural network-based sliding mode control of electronic throttle
In this paper a neural network based sliding mode controller for electronic throttle is proposed. Electronic throttle is considered as an uncertain linear system. The uncertainties, which consist of an unknown friction and spring torque are estimated by the neural network whose parameters are adapted in an on-line fashion. Control and adaptive laws guarantee the boundedness of all signals in th...
متن کاملGlobal Chaos Control of 3-Cells Cellular Neural Network Attractor via Integral Sliding Mode Control
In this research work, we first discuss the properties of the 3-cells CNN attractor discovered by Arena et al. (1998). Recent research has shown the importance of biological control in many biological systems appearing in nature. In computer science, machine learning and biology, cellular neural networks (CNN) are a parallel computing paradigm, similar to neural networks with the difference tha...
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: Energy Reports
سال: 2021
ISSN: 2352-4847
DOI: 10.1016/j.egyr.2020.11.032