Study on Distributed Intelligent Control Model of the Ships Pipe Network

2014 ◽  
Vol 904 ◽  
pp. 287-291
Author(s):  
Tao Jin ◽  
Ze Yuan Zhou ◽  
Feng Yang
Keyword(s):  
Intelligent Control ◽  
Control Model ◽  
Sensor Data ◽  
Pipe Network ◽  
Control Logic ◽  
Control Rules ◽  
Valve Leakage ◽  
Pipe Segment ◽  
And Control ◽  
Valve Control

A MAS-based distributed intelligent pipeline leakage control model, ship pipe network through the intelligent valve control system for automatic, independent isolate damaged sections, thereby enhancing ship in wartime circumstances viability. According to distributed intelligent control pipe network model composed of properties, the Agent is divided into sensor Agent, processors and actuators Agent. Agent of the processor by the sensor data collected Agent independent judgment pipe segment status judgment method and control rules proposed intelligent valve leakage indicator to determine the logic of the other characteristic parameters for a comparative study. Pipeline leakage numerical simulation results show that: the model and control logic to isolate leakage pipe sections, using the model can improve the vitality of ship pipe network.

Hybrid Intelligent Control Model Based on Electromagnetic Bionics and Fuzzy Algorithm

2014 ◽  
Vol 494-495 ◽  
pp. 1020-1027 ◽  
Author(s):  
Cheng Guo Liu ◽  
Shang He Liu ◽  
Jing Zou ◽  
Yu Zhao
Keyword(s):  
Intelligent Control ◽  
Heating Temperature ◽  
Heating System ◽  
Control Model ◽  
Fuzzy Algorithm ◽  
Organization Model ◽  
Intelligent Control System ◽  
System A ◽  
Proposed Model ◽  
And Control

An intelligent control model, called fuzzy self-organization model, is proposed based on the requirements of electromagnetic bionics system design principle and fuzzy algorithm. What the intelligent control model is and how it can be used in projects and the validation are elaborated. An intelligent control system - a heating system as selected, is developed according to the proposed model, in which the intelligent control model is constructed and coded into a DSP chip to organize the heating circuits/branches and control the heating procedure. The test results of the system show that the model can be carried out successfully, and the heating procedure is optimized by the settings of accurate heating temperature and the heating speed.

Study on System Design and Control Methods of Polishing Robot System

2009 ◽  
Vol 16-19 ◽  
pp. 1370-1376
Author(s):  
Zhong Luo ◽  
Fei Wang ◽  
Yang Jiang ◽  
Hong Yi Liu
Keyword(s):  
Intelligent Control ◽  
Control Method ◽  
Design Method ◽  
Interaction Force ◽  
Working Environment ◽  
Robot System ◽  
Forward Reasoning ◽  
Control Rules ◽  
Control Decision ◽  
And Control

A design method is presented for a polishing robot in unstructured working environment. Setting up a structure model of the polishing system, and the operation principle and control method are described. The human-simulated intelligent control method is applied to the control of contact force in unstructured environment, because of the uncertainty, variability and unstructured of the environment. The basic idea of the intelligent control method is based on the size of error and change direction of control variables. The conditions of the control rules and control decision are inferred by forward reasoning. The HSIC controlling function is achieved, which can strengthen people energy to revise and control the interaction force and position of the end-effector.

scholarly journals Protection and Response of a Tertiary Hospital in Shenzhen, China to the COVID-19 Outbreak—the Practice of the Comprehensive Response Mode

2021 ◽  
pp. 1-17
Author(s):  
Benling Hu ◽  
Le Yang ◽  
Chan Wei ◽  
Min Luo
Keyword(s):  
Prevention And Control ◽  
Tertiary Hospital ◽  
Control Model ◽  
Normal Operation ◽  
Process Reengineering ◽  
Equipment Management ◽  
Hospital Acquired Infection ◽  
Public Health Emergencies ◽  
Hospital Acquired ◽  
And Control

ABSTRACT Objective: To evaluate the management mode for the prevention and control of coronavirus 2019 (COVID-19) transmission utilized at a general hospital in Shenzhen, China, with the aim to maintain the normal operation of the hospital. Methods: From January 2, 2020 to April 23, 2020, Hong Kong–Shenzhen Hospital, a tertiary hospital in Shenzhen, has operated a special response protocol named comprehensive pandemic prevention and control model, which mainly includes six aspects: 1) human resource management; 2) equipment management; 3) logistics management; 4) cleaning, disinfection and process reengineering; 5) environment layout; 6) and training and assessment. The detail of every aspect was described and its efficiency was evaluated. Results: A total of 198,802 patients were received. Of those, 10,821 were hospitalized; 26,767 were received by the emergency department and fever clinics; 288 patients were admitted for observation with fever; and 324 were admitted as suspected cases for isolation. Under the protocol of comprehensive pandemic prevention and control model, no case of hospital-acquired infection with COVID-19 occurred among the inpatients or staff. Conclusion: The present comprehensive response model may be useful in large public health emergencies to ensure appropriate management and protect the health and life of individuals.

scholarly journals Neoteric Fuzzy control stratagem and design of Chopper fed Multilevel Inverter for enhanced Voltage Output involving Plug-In Electric Vehicle (PEV) applications

Electronics ◽  
2019 ◽  
Vol 8 (10) ◽  
pp. 1092 ◽  
Author(s):  
Sunddararaj ◽  
Rangarajan ◽  
Gopalan
Keyword(s):  
Electric Vehicle ◽  
New Technologies ◽  
Control Strategies ◽  
Economic Benefits ◽  
Multilevel Inverter ◽  
Control Logic ◽  
Bidirectional Converters ◽  
Hybrid Controller ◽  
And Control ◽  
Novel Design

The utilization of plug-in electric vehicles (PEV) has started to garner more attention worldwide considering the environmental and economic benefits. This has led to the invention of new technologies and motifs associated with batteries, bidirectional converters and inverters for Electric Vehicle applications. In this paper, a novel design and control of chopper circuit is proposed and configured with the series and parallel connection of the power electronic based switches for two-way operation of the converter. The bidirectional action of the proposed converter makes it suitable for plug-in electric vehicle applications as the grid is becoming smarter. The DC–DC converter is further interfaced with the designed multilevel inverter (MLI). The reduced switches associated with the novel design of MLI have overcome the cons associated with the conventional inverters in terms of enhanced performance in the proposed design. Further, novel control strategies have been proposed for the DC–DC converter based on Proportional Integral (PI) and Fuzzy based control logic. For the first time, the performance of the entire system is evaluated based on the comparison of proposed PI, fuzzy, and hybrid controllers. New rules have been formulated for the Fuzzy based controllers that are associated with the Converter design. This has further facilitated the interface of bidirectional DC–DC converter with the proposed MLI for an enhanced output voltage. The results indicate that the proposed hybrid controller provides better performance in terms of voltage gain, ripple, efficiency and overall aspects of power quality that forms the crux for PEV applications. The novelty of the design and control of the overall topology has been manifested based on simulation using MATLAB/SIMULINK.

LSI Microcomputer and Digital Control

1975 ◽  
Vol 97 (2) ◽  
pp. 149-156 ◽  
Author(s):  
I. Lee
Keyword(s):  
Digital Control ◽  
Historical Background ◽  
Control System Design ◽  
Future Trends ◽  
Digital Control System ◽  
Control Logic ◽  
Present Trend ◽  
Potential Impact ◽  
Microprocessor Technology ◽  
And Control

This paper gives a tutorial presentation and overview of LSI microprocessor technology for control engineers and control logic designers. The historical background, present status and future trends of this dynamic technology are presented, and its enormous potential impact on digital control system design and implementation is explored through examples and extrapolation of the present trend.

Power Reserve Classification and Control for Peaking Balance with Intermittent Generation Grid

2014 ◽  
Vol 521 ◽  
pp. 252-255
Author(s):  
Jian Yuan Xu ◽  
Jia Jue Li ◽  
Jie Jun Zhang ◽  
Yu Zhu
Keyword(s):  
Real Time ◽  
Balance Control ◽  
Control Model ◽  
Intermediate Variable ◽  
Proposed Model ◽  
Grid Operators ◽  
Period Constant ◽  
Grid Operation ◽  
And Control ◽  
Time Reserve

The problem of intermittent generation peaking is highly concerned by the grid operator. To build control model for solving unbalance of peaking is great necessary. In this paper, we propose reserve classification control model which contain constant reserve control model with real-time reserve control model to guide the peaking balance of the grid with intermittent generation. The proposed model associate time-period constant reserve control model with real-time reserve control model to calculate, and use the peaking margin as intermediate variable. Therefore, the model solutions which are the capacity of reserve classification are obtained. The grid operators use the solution to achieve the peaking balance control. The proposed model was examined by real grid operation case, and the results of the case demonstrate the validity of the proposed model.

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