Fuzzy Speed Control of Networked Motion Control Systems

2015 ◽  
Vol 10 (6) ◽  
Author(s):  
Shangmin Zhang ◽  
Dezong Zhao ◽  
Chunwen Li ◽  
Richard Stobart
Keyword(s):  
Control Systems ◽  
Motion Control ◽  
Data Transmission ◽  
Induction Motors ◽  
Gain Scheduling ◽  
Networked Control System ◽  
Modeling And Control ◽  
Speed Controller ◽  
Local Controller ◽  
And Control

This paper proposed an integrated scheme for the modeling and control of induction motors in the networked environment. The networked control system (NCS) is built in hierarchical structure, which consists of a networked speed controller and a local controller. In the networked speed controller, fuzzy gain scheduling is applied to guarantee the robustness against communication constraints. Furthermore, a state predictor is designed to compensate the time delay occurred in data transmission from the sensor to the controller, as a component of the networked speed controller. Simulation and experimental results are given to illustrate the effectiveness of the proposed approach.

Joint Motion Control and Control Allocation Design for UAS Flight Control Systems

2011 ◽  
Author(s):  
Tristan Perez ◽  
Alejandro Donaire ◽  
Pierre De Lamberterie ◽  
Brendan Williams
Keyword(s):  
Control Systems ◽  
Motion Control ◽  
Flight Control ◽  
Control Allocation ◽  
Joint Motion ◽  
And Control

scholarly journals Recent Advances in Bidirectional Modeling and Structural Control

2016 ◽  
Vol 2016 ◽  
pp. 1-17 ◽  
Author(s):  
Satyam Paul ◽  
Wen Yu ◽  
Xiaoou Li
Keyword(s):  
Control Systems ◽  
Structural Control ◽  
Seismic Waves ◽  
Control Strategies ◽  
Optimal Placement ◽  
Modeling And Control ◽  
Control Devices ◽  
Identification Techniques ◽  
And Control ◽  
Bidirectional Modeling

This paper provides an overview of building structure modeling and control under bidirectional seismic waves. It focuses on different types of bidirectional control devices, control strategies, and bidirectional sensors used in structural control systems. This paper also highlights the various issues like system identification techniques, the time-delay in the system, estimation of velocity and position from acceleration signals, and optimal placement of the sensors and control devices. The importance of control devices and its applications to minimize bidirectional vibrations has been illustrated. Finally, the applications of structural control systems in real buildings and their performance have been reviewed.

scholarly journals An Effective and Active Bandwidth Distribution in Networked Control Systems

2020 ◽  
Vol 9 (4) ◽  
pp. 2150-2155
Keyword(s):  
Control Systems ◽  
Communication Networks ◽  
Networked Control Systems ◽  
Sampling Rate ◽  
Networked Control System ◽  
Satellite Networks ◽  
Networked Control ◽  
Smart Devices ◽  
Sensors And Actuators ◽  
And Control

Networked Control System (NCS) is a method composed of physically shared smart devices that can observe the surroundings, work on it, and converse with one another by means of a communication system to attain a widespread purpose. Characteristic examples that fall into this section are Wireless Sensors and Actuators Networks (WSANs) for ecological analyzing and checking, multi-vehicle systems for composed investigation, camera systems for observation, multicamera facilitated movement catch, shrewd lattices for vitality circulation and the executives, and so forth. NCSs changes from increasingly customary control systems as a result of their interdisciplinary which needs the combination of control hypothesis, correspondences, software engineering and programming designing. Plenty of communication modes are available from telephone lines, cell phone networks, satellite networks and most widely used is internet. The choice of network depends upon the application to be served. Internet is the most suitable and inexpensive choice for many applications where the plant and the controller are far from each other. The troubles present in the structure of control systems that are solid to correspondence parameters like transfer speed, arbitrary deferral and packet loss, to computational parameters in light of the tremendous amount of information to be handled or to the mutual idea of the detecting and control to ongoing execution on limited resources and due to the unpredictability to the huge number of untrustworthy agent present. With the limited measure of data transmission accessible, it is improved to use it ideally and proficiently. This further raises the requirement for need choices issue for controlling a series of actuators for a progression of tasks. The proposed methodology deals broadly made in two distinct directions. The first direction aims at a control theoretical analysis while considering the network as a constant parameter like special controllers and altering the sampling rate. The second direction aims the design of new communication network infrastructures, algorithms or protocols like designing static and dynamic message scheduling algorithms. This method combines both directions and depends on the well- recognized results in both communication networks and control theory

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