Design Of Temperature Control System Research Articles

Design and Development of Temperature Control System in Induction Furnace using LPC2148 and XBee

Design and Development of Temperature Control System in Induction Furnace using LPC2148 and XBee

Design and Experimental Study of Deposition Temperature Control System in Ultra-High Vacuum

Deposition temperature is a key factor influencing the growth morphology of thin-films, aiming at this phenomenon, a precise control system of deposition temperature in ultra-high vacuum is developed in the paper. It can realize accurate temperature control in a range of 150K to 450K during experiment by combination of resistance heating up and liquid helium cooling down strategies, which is benefit to further understand the temperature-depended mechanism of organic molecule thin-film growth. Besides, it is experimentally studied that the growth morphology of p-6p molecules on a mica substrate is closely related to the substrate deposition temperature, indicating that the length of p-6p nano-fibers is proportional to the deposition temperature, while their distribution density is inversely proportional to the temperature.

Design and Implementation of Temperature Control System for High-Frequency Heating Furnace Based on ARM11

Aiming at special requirements of temperature control of high-frequency heating furnace, an optimization algorithm that is optimized by adaptive scheduling strategy is proposed by integrating the simulating human intelligent control algorithm and the fuzzy proportion integral derivative control algorithm. Using ARM S3C6410 & WinCE 6.0 platform as the development platform and Visual Studio 2005 as the development tool, a hardware and software system for high-frequency furnace is designed based on technologies of embedded systems, control and communication. This system can control well the temperature of heating objects in a high- frequency heating furnace.

The Design of the Piston-Cylinder High Temperature and High Pressure Control System

Piston cylinder high temperature and high pressure (HTHP) apparatus is a most important instrument for studying deep earth processes and other HTHP experiments. But the apparatus with basic configuration require improvement. A new temperature and pressure automatic control system is present in the paper, and the system operating software is developed based on LabVIEW. The new control system realizes the pressure and the temperature working in the multi-mode, which improves the applicability. Experiment data and operating state are real-time displayed and recorded. The software has encryption protection and alert functions. Actual operation results show that the system has the good performance of following the setting curves and robustness.

Design of an Intelligent Temperature Control System Based on the Fuzzy Self-Tuning PID

Abstract Temperature control system is increasingly playing an important role in industrial production. Recently, lots of researches have been investigated for the temperature control system based on various control strategies. A temperature-control system based on the fuzzy self-tuning PID controller is proposed in this paper. The new algorithm based on fuzzy self-tuning PID can improve the performance of the system. Also, it's fit for the complicated variable temperature control system. The simulation results show that the validity of the proposed strategy.

Design of Temperature Control System Based on Fuzzy PID

To adjust temperature as the requirement of process curve, an intelligent control system of temperature was designed. In the system, the fuzzy rule was used to adjust parameters of PID controller. Adjusted PID controller was used to control the change of temperature. The system can avoid the disadvantages of common PID, such as, long setting time, wide overshoot, and acquire better control characteristic. It were expatiated that principle and method of control. The hardware structure and the software flow chart were also introduced.

The Design of Temperature Control System in Climatic Chamber Based on PLC and PC

In allusion to climatic chamber which is the important device in reliability and environmental test, design a control system including S7-200 PLC and PC to realize conventional PID control. To obtain more precise test temperature goal, a setting of temperature tolerance belt is imported. And introduce SIMATIC S7-200 PLC communication protocol, design a PC human-machine interface based on VC++, use a ActiveX control named MSComm6.0 to realize data recording and control between PC and PLC.

The Design of Temperature and Humidity Control System in Multi Incubators Based on Fuzzy Control

Hatching systems requiring high control accuracy of temperature and humidity. Particularly temperature, small temperature change will significantly affect hatching time and hatching rate；and temperature and humidity is the controlled amount of interaction between two. Due to the coupling characteristics of temperature and humidity is difficult to establish a precise mathematical model, caused uncertainty in its control. Fuzzy control method witch proposed in this article will not only improve control precision, and to improve the robustness of control algorithms and adaptive capacity.

The Design and Implementation of A Low Cost Temperature Monitor and Control system

In this article, the new method for designing the temperature control system with low vibration for a scanning the given object is proposed. The system uses STC89LE516AD as the CPU, and some peripheral circuits: keypad input circuit, the temperature measurement circuit, and LED display circuit to monitor and control the temperature of the given object. By using a small number of hardware devices and software designation, we realize the function of real-time temperature monitor and control. The results show that our goal to construct the temperature control system for a given object with relatively high precision can be realized by using the proposed method, and the system proved to be strong, low cost, with strong practical.

Design of temperature control system of biochemical analyzer based on DSP

Design of temperature control system of biochemical analyzer based on DSP

Adaptive PID Temperature Controller Based on Fuzzy Logic

This paper develops a fuzzy logic controller (FLC) for the temperature. Temperature is a very popular parameter in industry, which leads an important role in industry process control. There is nonlinearity, time lag, inertia, uncertainty and so on .The advantage of this method is that the proposed FLC has the characteristics of robustness. In order to control systems that contain nonlinearities or uncertainties, control strategies must deal with the effects of these. With the development of intelligent control, Fuzzy-PID control based on Fuzzy control develops more and more popular and makes a great process in temperature control. The whole resistance furnace temperature control system design is based on PLC which Rockwell laboratory supplies and related software and hardware.

Design of Fumigation Temperature Control System Based on Single-Chip Microcontroller

In order to mitigate problems such as temperature non-linearity, severe hysteresis, and large magnitude of fluctuation, we have designed a fumigation temperature control system based on AT89C52 single-chip microcontroller. The combination of improved PID algorithm and Pulse Width Modulation (PMW) technology results in whole-process fumigation temperature controlling with reduced overshoot and shortened lag time. Our test results show that the design leads to superior temperature control capability and dynamic performance. The fumigation temperature control system based on this design has very good stability and reliability, with friendly user-machine interface that allows easy operation. The circuits and programs used in the design have good versatility and portability.

Adaptive Decoupling Design of Constant Temperature and Humidity Control System Based on GPC and Multi-Model Control

In view of characteristics of large time delay, multi-interference and strong coupling in temperature and humidity control system, an adaptive decoupling strategy based on generalized predictive control (GPC) and multi-model control is proposed in this paper. The proposed strategy mainly contains muti-model control, GPC decoupling control and adaptive algorithm. In multi-model control, multi-model sets are established to prevent the model mismatch in different working conditions. Meanwhile, this paper designs adaptive dynamic decoupling algorithms based on the principle of GPC. In actual experiments, temperature and humidity achieve precision of ±0.2°C and ±0.5% respectively.

On the Use of Problem-Specific Candidate Generators for the Hybrid Optimization of Multi-Objective Production Engineering Problems

In the field of production engineering, various complex multi-objective problems are known. In this paper we focus on the design of mold temperature control systems, the reconstruction of digitized surfaces, and the optimization of NC paths for the five-axis milling process. For all these applications, efficient problem-specific algorithms exist that only consider a subset of the desirable objectives. In contrast, modern multi-objective evolutionary algorithms are able to cope with many conflicting objectives, but they require a long runtime due to their general applicability. Therefore, we propose hybrid algorithms for the three applications mentioned. In each case, the problem-specific algorithms are used to determine promising initial solutions for the multi-objective evolutionary approach, whose variation concepts are used to generate diversity in the objective space. We show that the combination of these techniques provides great benefits. Since the final solution is chosen by a decision maker based on this Pareto front approximation, appropriate visualizations of the high-dimensional solutions are presented.

Simulation of the heat exchangers dynamics in MATLAB&simulink

Heat exchangers that transfer energy from flue gas to steam are important units of thermal power stations. Their inertias are often decisive for the design of the steam temperature control system. ...

The Design of Automatic Temperature Control System for the Dyeing Machine

This article analyzed the temperature control system of the dyeing machine in the textile industry, adopted the technology of PLC to automatically control the temperature and realized the automatic temperature adjustment in the work process of the dyeing machine. The spot adjustment proved that this method could fulfill the basic requirement of the dyeing machine to the temperature.

Design of Alternating Impact Machine with High Temperature and Pressure Resistance

The alternating impact machine with high temperature and pressure resistance is a kind of equipment to make the fatigue experiment for rubber pipe in the auto industry. This article mainly introduces the work principle and the design of hydraulic pressure system and temperature control system of the alternating impact machine. This system uses Siemens S7-200 Programmable Logic Controller (PLC) control the temperature, impact of water or oil pulse and the impact control of test-bed. The master machine is monitored by the King View. The combination of PLC with the soft of King View is propitious to design and examine the PLC control system and possesses good practical value.

X-ray computed tomography of frozen soil

X-ray tomography (CT scanning) is widely used by the health community to obtain three-dimensional images of the human anatomy. Its strength lies in its being a non-destructive technique that can investigate the internal structure of the human body and other materials, including soil. The research to be presented builds on extensive CT investigation of the structure of intact natural soil cores, using a CT unit specially designed for investigation of soil materials. With the design of an appropriate temperature control system, the CT unit has been modified so that the structure of intact frozen soil samples can be investigated. This research investigates the changes in structure and the redistribution of water to form ice lenses in saturated samples of an Aurora silt loam frost-susceptible soil that were thoroughly mixed to produce an initially homogeneous material, and of a Honeywood silt loam that was deliberately contaminated with motor oil. The soils were subjected to relatively rapid, downward freezing, with access to water at their base. Preliminary results indicate that CT can produce excellent images (even without digital filtering) of the ice lens distribution within a frozen silt loam soil, the consolidation of soil between the ice lenses, and the effects of hydrocarbon contamination. Ice lenses of less than 1 mm thickness can be detected. Image analysis techniques used to improve image quality in medical CT analysis and in remote sensing are being investigated.

Design and development of a geothermal temperature control system for broodstock management of channel catfish Ictalurus punctatus

A control system was designed to raise and maintain water temperatures within ∼0.03-ha earthen ponds to a range conducive for spawning (24–30 °C) channel catfish Ictalurus punctatus. Heating was done during February 2001 to April 2001, when temperatures would have otherwise prohibited spawning (<24 °C). Temperature was increased from ∼10 °C (ambient) by ∼2 °C per day, and maintained at ∼27 °C, by the addition of geothermally warmed water (∼36 °C). The control system substantially increased the controllability and precision of heating ponds compared to manual operation. Systems were designed to control sets of four ponds. In designing this control system, consideration of biological constraints was essential. Reproduction in channel catfish is most strongly influenced by temperature. Because cold fronts are common during the winter and early spring (January–March), it was essential to ensure that pond temperatures did not fall below the range for spawning. Constraints on the heating rate and temperature variability to maintain fish health and stimulate spawning behavior were considered. Components of the control system included temperature measurement devices (type-T thermocouples), a central electronic control unit, electronic switches and electrically actuated ball valves. In response to the temperature sensed by each thermocouple, the controller sent a message to close or open the valve. When the valve was opened, warm water was added to the pond to increase the average pond temperature. Hardware and algorithm design and initial system testing were the major components of this project. The final design incorporated information on relevant biological parameters and safety features including peak pond temperature, independent aeration and water pressure control mechanisms. Initial results indicate successful control of this biological system, and ongoing studies suggest similar mechanisms may be used for additional control objectives. In particular, this system could be used to vary pond temperatures to study biological responses and to cool ponds by addition of well water during summer months.

EM 알고리즘에 의한 퍼지 규칙생성과 온도 제어 시스템의 설계

본 논문에서는 EM(Expectation-Maximization) 알고리즘을 이용한 자동적인 퍼지 규칙생성과 적응 뉴로-퍼지 제어기(Adaptive Neuro-Fuzzy Controller)의 설계를 제안한다. EM 알고리즘은 가우시안 혼합모델(Gaussian Mixture Model)의 최대우도추정(Maximum Likelihood Estimate)을 위해 사용되어지며 본 논문에서는 규칙생성을 위해 클러스터 중심을 추정한다. 추정된 클러스터는 ANFIS(Adaptive Neuro-Fuzzy Inference System)의 퍼지 규칙과 소속함수를 구축하는데 사용되어진다. 시뮬레이션으로 제안된 적응 뉴로-퍼지 제어기의 성능을 입증하기 위해 목욕물 온도 제어 시스템에 대해 다루고 기존 퍼지 제어기에 비해 적은 규칙의 수와 작은 값의 SAE(Sum of Absolute Error)으로 성능개선을 확인하였다.