Design on Stepping Type Heating Furnace Control System

2012 ◽  
Vol 268-270 ◽  
pp. 1367-1370
Author(s):  
Yan Wang ◽  
Cheng Lin Liu ◽  
Bin Lu ◽  
Meng Xia Pei
Keyword(s):  
Control System ◽  
Heating Furnace ◽  
System Stability ◽  
Control Mode ◽  
Furnace Temperature ◽  
Temperature Environment ◽  
Control Target ◽  
Furnace Control ◽  
Save Energy ◽  
And Control

This paper introduces design and implementation of a kind of stepping type heating furnace automatic control system. In this system, the instrument collects variables of all kinds of process, and then put into PLC, PLC drives corresponding actuator respectively according to the setting control mode and control target value. The requirements of this design are that the control system can control temperature accurately in high temperature environment, in order to realize the furnace temperature uniformity and achieve the requirements of higher-level processing as well as improve the system stability and save energy.

Greenhouse Monitoring and Control System Based on Zigbee

2013 ◽  
Vol 347-350 ◽  
pp. 768-771 ◽  
Author(s):  
Jian Jun Zhou ◽  
Xiao Fang Wang ◽  
Xiu Wang ◽  
Wei Zou ◽  
Ji Chen Cai
Keyword(s):  
Control System ◽  
Remote Monitoring ◽  
Control Method ◽  
Control Mode ◽  
Monitoring And Control ◽  
Control Software ◽  
Monitoring And Control System ◽  
Centralized Management ◽  
Remote Monitoring And Control ◽  
And Control

A greenhouse monitoring and control system based on Zigbee networks was developed. This system consists of greenhouse data acquisition controller and greenhouse remote monitoring and control software. The system could monitor temperature and humidity, soil water content and concentration of carbon dioxide in greenhouse and could save these greenhouse data to database. Greenhouse acquisition controller had two kinds of control modes, including local manual control mode and remote wireless control mode in monitoring center. Greenhouse remote monitoring and control software can collect, display and record the collected data, also can control greenhouse environment. According to the current indoor temperature, the target temperature and the offset temperature, PID control method is used for temperature control in greenhouse. The system is implemented using low power wireless components, and easy to be installed. A good wireless solution is provided by this system for centralized management of the greenhouse group.

Adaptive Identification and Control for Small Modular Reactors

2011 ◽  
Author(s):  
Daniel G. Cole
Keyword(s):  
Adaptive Control ◽  
Control System ◽  
Adaptive System ◽  
Operating Conditions ◽  
System Stability ◽  
Peak Performance ◽  
Model Matching ◽  
Adaptive Identification ◽  
Control Approach ◽  
And Control

This paper discusses adaptive identification and control (AID&C) techniques to enable automated online identification and control of SMRs. Adaptive system ID allows engineers to rapidly measure system dynamics, calibrate sensors channels, determine loop processes, and quantify actuator authority for the various reactor control loops. Adaptive control can automatically tune these loops and adjust plant processes to optimize conditions for peak performance and power production. Another advantage of the adaptive ID and control approach is that these tools can be used during reactor operation to monitor active and passive components. Adaptive system ID techniques are used to measure loop-transfer characteristics. Presented is a practical approach that uses adaptive model-matching tools to identify the coprime factors of the local loops. This has the advantage over model based approaches since coprime factors can be identified on the real system using real data. Adaptive control enables auto-tuning of controller parameters to meet operational specifications. Using the coprime factors, all controllers that stabilize the plant can be parametrized by a free Q-parameter that can be changed to meet control system objectives and improve performance, and the tuning is performed using adaptive techniques. The controller architecture presented provides several desirable and necessary features: e.g., a default fail-safe mode of operation, stability in the presence of communications failures, guaranteed stability, and robustness. An advantage of the adaptive structure presented here is that control system stability can be guaranteed, even during adaptation by ensuring certain norm conditions on the Q-parameter and estimated plant uncertainty. More importantly, the Q-parameter can be monitored during operation, providing a real-time estimate of the changes in the plant resulting from changes in the reactor itself. This signal monitors the dynamics of each loop, providing information about the reactor from the perspective of the control process. Online monitoring using AID&C can be used to better track control system transients that result in reactor trip, thus avoiding undesirable reactor trips and diversion events. And, there is a potential that the system can better adapt to changing operating conditions during plant transients including load following procedures.

Dynamic Model Development of Linear Fresnel Solar Field

2015 ◽  
Author(s):  
Elina Hakkarainen ◽  
Matti Tähtinen ◽  
Hannu Mikkonen
Keyword(s):  
Control System ◽  
Dynamic Simulation ◽  
Model Development ◽  
Control Mode ◽  
Plant Behavior ◽  
Clear Sky ◽  
Control Scheme ◽  
Control Schemes ◽  
And Control ◽  
Solar Field

As a dispatchable clean energy source, concentrated solar power (CSP) can be one of the key technologies to overcome many problems related to fossil fuel consumption and electricity balancing problems. Solar is a variable location, time and weather dependent source of energy, which sets challenges to solar field operations. With proper dynamic simulation tools it is possible to study dynamics of CSP field under changing weather conditions, find optimum control strategies, and plan and predict the performance of the field. CSP technology considered in this paper, linear Fresnel reflector (LFR), is a proven line focusing technology, having simpler design but suffering in optical performance compared to more mature parabolic trough (PT) technology. Apros dynamic simulation software is used to configure and simulate the solar field. Apros offers a possibility to dynamically simulate field behavior with varying collector configuration, field layout and control mode under varying irradiation conditions. The solar field applies recirculation (RC) as a control mode and direct steam generation (DSG) producing superheated steam. DSG sets challenges for the control scheme, which main objective is to maintain constant steam pressure and temperature at the solar field outlet under varying inlet water and energy conditions, while the steam mass flow can vary. The design and formulation of an entire linear Fresnel solar field in Apros is presented, as well as the obtained control scheme. The field includes user defined amount of collector modules, control system and two modules describing solar irradiation on the field. As two-phase water/steam flow is used, an accurate 6-equation model is used in Apros. Irradiation on the solar field under clear sky conditions is calculated according to time, position and Linke turbidity factor. Overcast conditions can be created by the clear sky index. For LFR single-axis sun tracking system is applied. In order to test the model functionality and to investigate the field behavior, thermal performance of the field was simulated at different dates at two different locations, and the results were compared. Similar field dimensions and control schemes were applied in each case, and simulations were done for full 24 hours in order to study the daily operations and ensure process stability. Control scheme functionality is evaluated based on the plant behavior in simulation cases having different operational conditions. The proper operability of the configured LFR model is evaluated. Obtained performance results show differences between locations and variation depending on season and time. The importance of a proper control system is revealed. The results show that the dynamic model development of a solar field is necessary in order to simulate plant behavior under varying irradiation conditions and to further develop optimal field control schemes and field optimizing process. The future work in the development of the LFR model presented will focus on dynamic response behavior development under transient conditions and field start-up and shut down procedure development.

Design of Bulk Solid Flow Control System

2014 ◽  
Vol 898 ◽  
pp. 568-573
Author(s):  
Zhao Long Fan ◽  
Jian Hui Zhao ◽  
Fan Li ◽  
Sun Rong
Keyword(s):  
Control System ◽  
Flow Control ◽  
Control Mode ◽  
Embedded Operating System ◽  
Control Effect ◽  
Solid Flow ◽  
Stability And Control ◽  
Bulk Solid ◽  
Flow Control System ◽  
And Control

This paper introduced the hardware module, software process, and control mode and communication protocol of bulk solid flow control system based on the C8051F020. It selected the C8051F020 of transplanted uCos-II embedded operating system as the core, used the module software design idea, and realized the cooperation of collection, PID control, communication and other tasks. The industry site experiment showed that the system had good adaptability, stability and control effect, the control accuracy reached to ±1%FS, and the measuring accuracy reached to ±5.

Research on New Automotive Drum Bench and Control System

2014 ◽  
Vol 602-605 ◽  
pp. 1459-1462 ◽  
Author(s):  
Qiang Qiang Chen ◽  
Xue Qi Wu ◽  
Ten Long Sun ◽  
Tin Tin Liu
Keyword(s):  
Control System ◽  
Test Bench ◽  
Control Mode ◽  
Test Results ◽  
Test Rig ◽  
Reliable Operation ◽  
Electrical Simulation ◽  
Dynamic Economy ◽  
Simulation Control ◽  
And Control

Automobile drum test bench is conducted test car's dynamic economy tests, special test equipment emissions performance evaluation and analysis of the simulated vehicle right road resistance is the key to drum test rig. This paper first describes the electrical simulation theory cars with resistance and inertia, and the establishment of automobile roads resistance electrical simulation mathematical model of the software platform drum bench and control system is analyzed and designed and conducted inertia simulation control mode the test results showed that inertia simulation control and reliable operation.

A Simulation Research of Artificial Intelligence Control

2012 ◽  
Vol 214 ◽  
pp. 640-643
Author(s):  
Xin Xiong ◽  
Chao Dong Lu
Keyword(s):  
Artificial Intelligence ◽  
Control System ◽  
Control Method ◽  
Control Mode ◽  
Simulation Research ◽  
Loop Control ◽  
Complex Control ◽  
Intelligence Control ◽  
And Control ◽  
Specific Control

The traditional control system can not meet the more complex control tasks of the problem, using artificial intelligence control method of imitation, artificial intelligence control system on the overall structure of the design, and given the specific control algorithms. System relies on accurately identify the various features of the error and make the appropriate decisions to multiplexing, open, closed loop control mode of combining control and solve the complex control of the process of identification, decision-making and control problems and achieve A unified identification control.

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