Adaptive neural control for space structure vibration suppression
نویسندگان
چکیده
منابع مشابه
Vibration Suppression of Adaptive Truss Structure Using Fuzzy Neural Network
An adaptive truss structure with self-learning active vibration control system is developed. A fuzzy-neural network (FNN) controller with adaptive membership functions is presented. The experimental setup of a two-bay truss structure with active members is constructed, and the FNN controller is applied to vibration suppression of the truss. The controller first senses the output of the accelero...
متن کاملOptimal Gyricity Distribution for Space Structure Vibration Control
Many space vehicles have been launched with large flexible components such as booms and solar arrays. These large space structures may require active shape control given the possibility of lightly damped vibrations. Such vibrations can be controlled using a collection of control moment gyros, which consist of a spinning wheel in gimbals and produce a torque when the orientation of the wheel is ...
متن کاملRobust Adaptive Feedforward Vibration Control for Flexible Structure
This paper investigates the feasibility of robust adaptive feedforward control for the vibration suppression of a smart flexible beam. The adaptive least mean square (LMS) feedforward control with sliding mode controller is developed. Finite element model of flexible beam is calculated. The developed adaptive control with sliding mode controller design is numerically verified on a flexible beam...
متن کاملOrthogonal Eigenstructure Control for Vibration Suppression
Orthogonal eigenstructure control is a novel active control method for vibration suppression in multi-input multi-output linear systems. This method is based on finding an output feedback control gain matrix in such a way that the closed-loop eigenvectors are almost orthogonal to the open-loop ones. Singular value decomposition is used to find the matrix, which spans the null space of the close...
متن کاملDecentralized adaptive recurrent neural control structure
This paper presents a novel decentralized variable structure neural control approach for large-scale uncertain systems, which is developed using recurrent high-order neural networks (RHONN). It is assumed that each subsystem belongs to a class of blockcontrollable nonlinear systems whose vector fields includes interconnection terms, which are bounded by nonlinear functions. A decentralized RHON...
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: Smart Materials and Structures
سال: 1999
ISSN: 0964-1726,1361-665X
DOI: 10.1088/0964-1726/8/6/305