Flexible operation strategy for environment control system in abnormal supply power condition

2017 ◽  
Vol 133 ◽  
pp. 334-345
Author(s):  
Pang Liping ◽  
Li Guoxiang ◽  
Qu Hongquan ◽  
Fang Yufeng
Keyword(s):  
Control System ◽  
Operation Strategy ◽  
Environment Control ◽  
Flexible Operation

Fault-Tolerant Control of Mechanical Systems Using Neural Networks

2012 ◽  
pp. 187-205
Author(s):  
Sunan Huang ◽  
Kok Kiong Tan ◽  
Tong Heng Lee
Keyword(s):  
Control System ◽  
Failure Modes ◽  
Fault Tolerant ◽  
A Priori ◽  
Mechanical Systems ◽  
Fault Tolerant Control ◽  
Working Environment ◽  
Harsh Environment ◽  
Environment Control ◽  
Component Failures

Due to harsh working environment, control systems may degrade to an unacceptable level, causing more regular fault occurrences. In this case, it is necessary to provide the fault-tolerant control for operating the system continuously. The existing control techniques have given some ways to solve this problem, but if the system behaves in an unanticipated manner, then the control system may need to be modified, so that it handles the modified system. In this chapter, the authors are concerned with how this control system can be done automatically, and when it can be done successfully. They aimed in this work at handling unanticipated failure modes, for which solutions have not been solved completely. The model-based fault-tolerant controller with a self-detecting algorithm is proposed. Here, the radial basis function neural network is used in the controller to estimate the unknown failures. Once the failure is detected, the re-configured control is activated and then maintains the system continously. The fault-tolerant control is illustrated in two cases. It is shown that the proposed method can cope with different failure modes which are unknown a priori. The result indicates that the solution is suitable for a class of mechanical systems whose dynamics are subject to sudden changes resulting from component failures when working in a harsh environment.

Study on Greenhouse System Modeling Based on Adaptive Fuzzy Predictive Control

2014 ◽  
Vol 602-605 ◽  
pp. 1237-1239
Author(s):  
Ze Fang Wang ◽  
Chen Liu
Keyword(s):  
Control System ◽  
System Modeling ◽  
Rapid Development ◽  
The United States ◽  
High Tech ◽  
Climate Chamber ◽  
Growth Environment ◽  
High Efficient ◽  
Environment Control ◽  
Research Institute

In recent years, these governments are committed to intelligent greenhouse research, intelligent greenhouse system is a kind of resource conservation effective agricultural development technology, it is in the common greenhouse basis, combined with modern computer automatic control technology, intelligent sensing technology, artificial intelligence and expert system in high-tech field to develop, provide seasonal irrelevant for crop growth environment in a computer integrated control, to realize the various crops industrial production of high quality、 high efficient and low consumption[1]. With computer as the core of greenhouse comprehensive environment control system , get rapid development in Europe and the United States and Japan, then entered the network intelligent stage.Study of domestic greenhouse control system started relatively late, to the 80's, have the microcomputer control of artificial climate chamber , such as the Chongqing research institute MCU control system of the artificial climate chamber, as well as Shanghai the plant research institute artificial climate chamber[2].

Wireless Control System for Plug Seedlings Environment Based on GPRS

2013 ◽  
Vol 303-306 ◽  
pp. 1311-1314 ◽  
Author(s):  
Ji Zhang Wang ◽  
Ping Ping Li ◽  
Yu Li Peng
Keyword(s):  
Control System ◽  
Web Server ◽  
Control Unit ◽  
Monitoring And Control ◽  
Terminal Unit ◽  
Remote Terminal ◽  
Control Scheme ◽  
Remote Terminal Unit ◽  
Environment Control ◽  
Environment Parameters

In order to realize remote monitoring and control for the environment of plug seeding, the environment control system based on GPRS was developed. The systems includes environment sensors, GPRS remote terminal unit (RTU), control unit and WEB server. Through the GPRS network to transmission the environment parameters, and upload data via the Internet to the web server. According the environment parameters, the server get the optimal control scheme based on model. Then transmit the control scheme to the remote terminal unit (RTU) through the GPRS network. The RTU get the control scheme, the control unit send the control signal to the control equipment. This system can achieve real-time control of environment parameters for plug seedling.

Sign in / Sign up

Export Citation Format

Share Document