Research on Heating and Temperature Control System with Solid Electric Heat Storage Based on Improved Smith Predictive Control

The temperature control system is an indispensable key system for the thermal vacuum test. It is used to simulate the infrared heat flow environment of the spacecraft in orbit. In order to improve the stability and reliability of temperature control, this paper designs and develops a thermal vacuum test temperature control system based on the Modbus RTU serial communication protocol on the LabVIEW platform. The system combines the flexibility of software development on LabVIEW platform and combines the stability of serial communication with controller. This temperature control system has been used in thermal vacuum test, the control effect of overshooting within 1°C and temperature control accuracy within ±0.2°C. The system has high stability, which achieves the expected goal.

Based on the analysis of the whole system of magnesium alloy melting furnace, the functional requirements of the temperature control system are clarified. Based on the analysis of the melting process of magnesium alloy, the thermal stress situation in the heating furnace temperature rise period is analyzed by means of analysis of heat transfer simulation, the reasonable heating rate and magnesium melt temperature variation are determined. The method of control strategy based on PLC algorithm and multipoint temperature measuring are put forward to solve the temperature control system of magnesium melt temperature fluctuation in improper rate control and continuous casting. A set of control system based on PC and PLC is designed according to the functional requirements of magnesium alloy furnace temperature control system. The system uses PLC as the main control unit to realize the automatic heating control and data acquisition. At the same time, PC is taken as a human-computer interaction platform, and VB6.0 is used to develop computer monitoring software to realize on-line control of upper computer and lower computer and centralized control of the whole control system, which simplifies the operation, reduces the failure rate of the equipment, improve the work efficiency and the accuracy and flexibility of the system. The hardware configuration and software design of temperature control system for magnesium alloy melting furnace is completed, the temperature control system performance is tested, and the feasibility of heating system and the rationality that based on the duty ratio of hybrid control of output control and PID control are verified. According to the experimental results, the experimental system of magnesium alloy melting furnace is established, and the temperature control experiment is carried out. The experimental results show that the temperature control system achieves the expected control objectives.

The temperature control and monitoring system in the freezer room has an important role in maintaining the quality of food raw materials. Freezer space is used to store food raw materials to keep them fresh and undamaged. However, if the temperature in the freezer compartment is not properly monitored, food raw materials may be damaged which can affect their quality and safety. Therefore, an IoT-based temperature control and monitoring system in the freezer room was created using Wemos D1 R2. The design of this prototype uses hardware, namely the WeMos D1 R2 microcontroller based on ESP8266 because it can be connected to WiFi, DHT22 temperature sensor, I2C LCD and relay. The results of this prototype design are being able to read the temperature and humidity of the freezer room and having a temperature control system that can be seen on the Blynk application on a smartphone by displaying the temperature and humidity values. The conclusion from this study is that the prototype has succeeded in controlling the temperature of the freezer room as well as monitoring the temperature and humidity of the freezer room and displaying it on the Blynk application on a smartphone and has a warning notification when the temperature rises above -18 degrees celsius.

Microfluidic Lab on a Chip (LOC) devices are key enabling technologies for research and industry due to their compact size, which increases the number of integrated operations while decreasing reagent use. Common operations within these devices such as chemical and biological reactions, cell growth, or kinetic measurements often require temperature control. Commercial temperature controllers are constrained by cost, complexity, size, and especially versatility for use in a broad range of applications. Small companies and research groups need temperature control systems that are more accessible, which have a wide applicability. This work describes the fabrication and validation of an inexpensive, modular, compact, and user-friendly temperature control system that functions within a microscope. This system provides precise temperature acquisition and control during imaging of any arbitrary sample which complies with the size of a microscope slide. The system includes two parts. The first part is a compact and washable Device Holder that is fabricated from high-temperature resistant material and can fit securely inside a microscope stage. The second part is a robust Control Device that incorporates all the necessary components to program the temperature settings on the device and to output temperature data. The system can achieve heating and cooling times between 50 °C and 100 °C of 32 s and 101 s, respectively. A Bluetooth enabled smartphone application has been developed for real-time data visualization. The utility of the temperature control system was shown by monitoring rhodamine B fluorescence in a microfluidic device over a range of temperatures, and by performing a polymerase chain reaction (PCR) within a microscope. This temperature control system could potentially impact a broad scope of applications that require simultaneous imaging and temperature control.

The performance parameters and long-term operation stability of the photodetector in radiation temperature measurement will change with the change of working temperature. In order to meet the high precision temperature control demand of the photodetector, a temperature control system based on the thermoelectric refrigeration control chip ADN8831 is designed. The control system uses the thermistor as the temperature sensing element, and uses the analog proportional integral differential (PID) circuit to control the temperature closed-loop. The experimental results show that the Thermoelectric cooler (TEC) inside the photodetector can stabilize at the set temperature within 11 s under the drive of the temperature control system, and the temperature control accuracy is as low as ± 0.01 °C.

To solve the problem in which the output power and wavelength of semiconductor lasers in fiber optic sensing systems are easily affected by the drive current and temperature, a high-precision current drive and temperature control system was developed in this study. The embedded system was used to provide a stable drive current for the semiconductor laser through closed-loop negative feedback control; moreover, some measures, such as linear slow-start, current-limiting protection, and electrostatic protection, were adopted to ensure the stability and safety of the laser’s operation. A mathematical model of the temperature control system was constructed using mechanism analysis, and model identification was completed using the M sequence and differential evolution (DE) algorithms. Finally, the control rules of the fuzzy proportional integral differentiation (PID) algorithm were optimized through system simulation to make it more suitable for the temperature control system designed in this research, and the accurate control of the working temperature of the semiconductor laser was realized. Experimental results showed that the system could achieve a linearly adjustable drive current in the range of 0–100 mA, with an output current accuracy of 0.01 mA and a temperature control accuracy of up to 0.005 °C.

Aiming at the problems of low degree of intelligence and insufficient remote interaction ability of the traditional electric control box temperature control system, this study designs and implements an intelligent temperature control system based on STM32 microcontroller for the Internet of Things (IoT). The system adopts a multi-channel sensor fusion scheme, through the fixed point of multiple DS18B20 temperature sensors to build a distributed temperature measurement network, combined with the sound to determine the equipment failure method to achieve the intelligence of the temperature control system. A dual-channel power driver module was designed at the hardware level, with cooperative control of the heat source power and the AC fan. At the software level, an IoT architecture based on MQTT protocol was developed to realize real-time uploading of data to the built cloud platform and remote interaction through mobile APP to realize temperature regulation and control in the electric control box. The fan speed and the power of the heat source are adjusted in time according to the change of temperature in the real-time temperature control cabinet to ensure that the temperature in the temperature control cabinet remains constant. The content of this study helps to provide assistance in designing temperature control systems in the Internet of Things.

Intelligent temperature and humidity control system is widely adopted in many applications. However, in the greenhouse and storage facilities with large area, there is a conflict between cost and accuracy of temperature and humidity control. Therefore, this paper proposes a temperature and humidity detection module (THDM) suitable for storage applications. The THDM includes STM32 which is one popular single chip microcomputer, DH11 which is one kind of temperature and humidity sensor, ATGM332D module which supports the function of GPS and Beidou dual-mode positioning, and HC05 which is low-power Bluetooth communication module. The THDM not only transmits the temperature and humidity information, but also uploads the geographic location information. Therefore, the placement work is convenient, and the location of THDM can be freely configured according to the special needs and occasions. The maintenance work is also small. With the help of THDM, the intelligent temperature and humidity control system will be able to accurately obtain the temperature and humidity and other environmental information of the specific location, and make correct control decisions.

In industrial production, temperature and humidity are common main manipulated parameters, especially in heat treatment industry, the temperature control is becoming more and more important. This paper from two aspects that hardware and software introduced single-chip microcomputer (SCM) C8051F intelligent temperature and humidity control system, and described schematic diagram of hardware and software. The design adds the integration of carbon dioxide concentration and light intensity detection and necessary communication function. It is a more humanized and more practical intelligent temperature and humidity measurement and control system.

The temperature control performance of a developed temperature feedback control system was experimentally investigated. The control system was based on a real-time temperature control of a cooling fluid. In particular, this study focused on the temperature control performance of a built-in motor spindle that used the developed temperature fedback control system. The built-in motor used in the study had water cooling jackets. The temperature of the built-in motor spindle was measured and feedback into the developed temperature feedback control system. Temperature control accuracy of the built-in motor spindle under steady state was then assessed. Furthermore, the effects of the time-variant changes in spindle rotation and ambient temperature on the performance of the temperature control system was investigated. The results of the experiments show that the temperature control accuracy of the built-in motor spindle under steady state condition was ±0.03°C. The temperature control performance of the built-in motor spindle under changes in the rotational speed of the spindle was examined. The experimental results show that the temperature change of the spindle could be suppressed to a maximum of approximately 0.3°C under transient state during sudden change in spindle speed. In addition, the effects of the changes in ambient and cooling water temperatures, which simulated actual environmental operating conditions, on the spindle temperature were investigated. The results show that the change in the spindle temperature could be suppressed by approximately less than ±0.1°C. These experimental results indicate that the developed temperature feedback control system achieved high temperature control accuracy and high response for the built-in motor spindle. In particular, the developed control system successfully controlled the time-variant change in the generated heat, thereby improving the thermal stability of the machine tool spindle.

A recurrent neuro-fuzzy based inferential sensor is applied to design an inferential control algorithm that can improve the operation of residential heating systems in which both energy efficiency and indoor environment quality are below expectation due to insufficient control. In current practice, the control of these heating systems is based on the measurement of air temperature at one point within the building. The inferential control strategy presented in this paper allows the control to be based on an estimate of the overall thermal performance, minimizing the chance of overheating (saving energy) and underheating (improving comfort) in the building. The performance of this control technology has been investigated through simulation study. The results show that the proposed control scheme can effectively maintain the temperature at set-point, and results in energy savings and improved thermal comfort.

This paper presents an Internal model controller (IMC) for temperature control of heating, ventilation and air conditioning (HVAC) system. Firstly, the temperature of an air-conditioning system of the test room is controlled by using PID controller. The performance and stability of the control process are degraded due to the significant time delay of air-conditioning process. So, smith-predictor scheme is used to compensate the time delay. But when the process has larger system parameters and longer time delay, smith-predictor does not provide better results. To overcome this problem, an internal model (IMC) controller is developed. Simulation results compare the performance of internal model (IMC) controller with conventional PID controller and smith predictor controller. Simulation result shows that an internal model controller gives satisfactory performance with less overshoot and less settling time.

Under the background of modern industrial processing and production, the sintering furnace’s temperature control system is researched to achieve intelligent smelting and reduce energy consumption. First, the specific application and implementation of edge computing in industrial processing and production are analyzed. The industrial processing and production intelligent equipment based on edge computing includes the equipment layer, the edge layer, and the cloud platform layer. This architecture improves the operating efficiency of the intelligent control system. Then, the sintering furnace in the metallurgical industry is taken as an example. The sintering furnace connects powder material particles at high temperatures; thus, the core temperature control system is investigated. Under the actual sintering furnace engineering design, the Distributed Control System (DCS) is used as the basis of sintering furnace temperature control, and the Programmable Logic Controller (PLC) is adopted to reduce the electrical wiring and switch contacts. The hardware circuit of DCS is designed; on this basis, an embedded operating system with excellent performance is transplanted according to functional requirements. The final DCS-based temperature control system is applied to actual monitoring. The real-time temperature of the upper, middle, and lower currents of 1# sintering furnace at a particular point is measured to be 56.95°C, 56.58°C, and 57.2°C, respectively. The real-time temperature of the upper, middle, and lower currents of 2# sintering furnaces at a particular point is measured to be 144.7°C, 143.8°C, and 144.0°C, respectively. Overall, the temperature control deviation of the three currents of the two sintering furnaces stays in the controllable range. An expert system based on fuzzy logic in the fault diagnosis system can comprehensively predict the situation of the sintering furnaces. The prediction results of the sintering furnace’s faults are closer to the actual situation compared with the fault diagnosis method based on the Backpropagation (BP) neural network. The designed system makes up for the shortcomings of the sintering furnace’s traditional temperature control systems and can control the temperature of the sintering furnace intelligently and scientifically. Besides, it can diagnose equipment faults timely and efficiently, thereby improving the sintering efficiency.

Agricultural cultivation technology with a hydroponic system is expected to be an alternative for people who have limited land or yards. However, manual control cannot be done at any time due to business and other work, so a controller is needed to monitor and control the temperature and water level in hydroponic plants to avoid the death of plant. The purpose of this research is to create a temperature and water level control system for hydroponic plants. The control process uses a NodeMCU esp8266 microcontroller. The process of data communication carried out by hardware and software using wireless media. The water temperature detection system uses a DS18B20 sensor, while the water level sensor uses an ultrasonic HC-SR04. The results of this study the system as a whole can perform the process of monitoring and controlling the temperature and water level in hydroponic plants automatically and displayed on the LCD and android. When the water level is less than the minimum limit of 5 cm, the filling pump will be active and it will take about 6.48 minutes to fill the reservoir from an empty state. In the temperature control system, an average error of 3.71%. In this research is obtained if water temperature is more than 29°C, the cold water pump will be active and it will take about 2 minutes to circulate the water back to 28°C.

With the continuous development of manufacturing technology today, the emerging technology of 3D printing is becoming more mature, and the surface accuracy and quality of printed products are receiving increasing attention from users. The stability and appropriateness of the nozzle temperature have a significant impact on the quality of the prints. This project focuses on the fused deposition modeling (FDM) 3D printer as the research subject, introduces the structure types of FDM 3D printers, and addresses the temperature control issue of FDM printers by using PID control for improvement. By applying SIMULINK to model and simulate the nozzle temperature control system, the simulation results of PID control are analyzed and compared. The results show that PID control shortens the stabilization time, improving the stability and control accuracy of the control system. PID control can enhance the temperature control accuracy of FDM printers, thus improving the precision and surface quality of the printed products.