Control System Modeling and Design for a Mars Flyer, MACH-1 Competition

This paper creates the model of the hydraulic control system and does simulation by using powerful function of modeling and simulation of MSC. Easy5. To help support the equipment of the hydraulic control system Vertical Shaft for example Firstly, creates the model of the Vertical Shaft hydraulic control system through the software MSC. Easy5. Secondly, input relevant simulation parameters and do simulation. Finally, analyze the results of simulation.

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Study on Greenhouse System Modeling Based on Adaptive Fuzzy Predictive Control

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.602-605.1237 ◽

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].

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Coordinated Control System Modeling of Ultra-Supercritical Unit based on a New Fuzzy Neural Network

Energy ◽

10.1016/j.energy.2021.121231 ◽

2021 ◽

pp. 121231

Author(s):

Guolian Hou ◽

Jian Xiong ◽

Guiping Zhou ◽

Linjuan Gong ◽

Congzhi Huang ◽

...

Keyword(s):

Neural Network ◽

Control System ◽

Fuzzy Neural Network ◽

System Modeling ◽

Coordinated Control ◽

Fuzzy Neural

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The Design of Robust Controller for Networked Control System with Time Delay

Mathematical Problems in Engineering ◽

10.1155/2015/189013 ◽

2015 ◽

Vol 2015 ◽

pp. 1-8 ◽

Cited By ~ 5

Author(s):

Zhongda Lu ◽

Lijing Wang ◽

Fengbin Zhang ◽

Fengxia Xu

Keyword(s):

Control System ◽

Time Delay ◽

Control Systems ◽

Networked Control Systems ◽

System Modeling ◽

Networked Control System ◽

Networked Control ◽

Loop Model ◽

The Stability ◽

System With Time Delay

This paper considers the stability andH∞control problem of networked control systems with time delay. Taking into account the influence of network with delay, unknown input disturbance, and uncertainties of the system modeling, meanwhile we establish a precise, closed-loop model for networked control systems with time delay. By selecting a proper Lyapunov-Krasovskii function and using Lyapunov theorem, a sufficient condition for stability of the system in the form of LMI is demonstrated, corresponding controller parameters are acquired, and the convergence of the control algorithm is proved. The simulation example shows that the construction of the network robust control system with time delay indeed improves the stability performance of the system, which indicates the effectiveness of the design.

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