Design Of Temperature Controller Research Articles

Design of Temperature and Humidity Control of Oyster Mushroom in Kumbung

Abstrack - Optimal temperature and humidity greatly affect the growth of oyster mushrooms. Cultivation of oyster mushrooms in kumbung is an attempt to control the optimal temperature and humidity for fungal growth. Periodic manual watering was felt to be less effective in controlling temperature and humidity in mushroom kumbung. Current technological developments provide the potential to create automatic control systems to control temperature and humidity in mushroom kumbung. Therefore, in this research, a controller is designed to control temperature and humidity in kumbung mushroom automatically based on a microcontroller. This shows that the control system designed is able to control the temperature and humidity in the mushroom kumbung automatically

A diesel engine air path model with a WG and an ETV for exhaust temperature controller design and embedded control

In this paper a mean value model of a turbocharged diesel engine air path with an electric wastegate (WG) and an exhaust throttle valve (ETV) is presented. The model is designed with regard to system analysis, controller design, and real-time feasibility. That means, care is taken to ensure that the model contains the relevant dynamics on the one hand and that the requirements for computing power and memory (RAM) are kept as low as possible on the other hand. New approaches for modeling the ETV and the exhaust gas temperature are presented. The latter is formulated via an artificial neural network (ANN) computed outside the model. The ANN is integrated into the model in such a way that the differentiation of the model still provides meaningful results for controller design. Thus, this model may also be used for online computation of nonlinear model predictive controllers (MPC) or nonlinear state observers. The parameters of the model are determined using GT-Power simulation data covering the entire working range of the engine. Only measured variables that are also accessible on the engine test bench are used. All optimization problems to be solved within the parameter determination are presented. It is analyzed which sensors are suitable to support the model in an implementation on an electronic control unit (ECU), and the effect without and with sensor correction is shown in a dynamic test bench measurement. Furthermore, the properties of the generated C code are presented, which are the number of mathematical operations, the runtimes, and the stack size. An evaluation of the real time capability is given based on eigenvalue analyses and the properties of the C code .

Pyrometry-based closed-loop control of the melt pool temperature in Laser Metal Deposition with coaxial wire feeding

Laser metal deposition with coaxial wire feeding is a directed energy deposition process that enables near-net-shape and direction-independent additive manufacturing of metal parts. However, the high sensitivity of the process to disturbances poses a major challenge, as this frequently leads to defective components and rejects. To counteract this, a pyrometer was coaxially coupled into the beam path of the laser processing head to accurately determine the melt pool temperature without limiting accessibility. Applying deterministic test signals, a system model describing the dynamic relationship between the temperature and the laser power was identified. Based on this model, a closed-loop process control was designed. The control system was validated by introducing various disturbances, for which the reference temperature could be tracked with good approximation. The designed temperature control results in reduced effort for tuning the deposition process as well as a lower probability of defects, which saves manufacturing time and cost.

Controller design for temperature control of MISO water tank system

This article introduces the design of split range control and fuzzy logic control for temperature control of the MISO (multiple input single output) water tank scheme. A multiple input single output (MISO) system is considered for the proposed work as most of the practical systems comprise of numerous MISO system. Investigations are conducted on the impact of control parameters, system dynamics and process disturbances. From the simulation outcomes, it is clearly inferred that the fuzzy logic controller outperformed split range control over all parameters.

A computational fluid dynamic-based method for analyzing the nonlinear relationship between windage loss and pressure in a geotechnical centrifuge

Temperature control is an important limitation to further increase in geotechnical centrifuge power. Although vacuum pumps can reduce windage loss, they also negatively affect heat transfer performance. Therefore, in this study, we aim to accurately determine the rate at which windage loss decreases with pressure to help assess whether reducing pressure is beneficial to temperature control. A computational fluid dynamic method based on the multi-reference model and k–ω shear-stress transport turbulence model is used to simulate the ZJU400gt geotechnical centrifuge. The windage loss and temperature of ZJU400 at 0–150 gravity acceleration under normal pressure conditions are simulated. Compared with the experimental data, the error is < 20.7%, indicating simulation reliability. Furthermore, the simulation model is used to simulate the windage loss power under low-pressure conditions and predict the relationship between the windage loss power and pressure. Compared with current calculation methods, which yield a linear relationship between windage loss and operating pressure, the simulation results indicate a slightly nonlinear relationship. At 5,000 Pa, the simulated windage loss is 40% larger than the calculated value, severely affecting the temperature control design. Moreover, the velocity exhibits minimal variation with pressure, whereas the effective kinematic viscosity varies substantially. The nonlinear relationship between the windage loss and pressure can be attributed to increased turbulent kinetic energy and the size of the wake region caused by vacuum pumping. A formula for nonlinear windage loss with pressure is proposed, providing a basis for the future design of super-gravity geotechnical centrifuges.

Study on an intelligent cooling control method of transformer

With the implemeGEPI-173ntation of unattended and intelligent substation, the operation and maintenance personnel are far away from the substation. The cooling system lacks real-time monitoring, fault prediction, remote control and other functions. The number of transformer non-stop caused by cooler fault is further increased, which directly threatens the power grid security. In order to solve the above problems, a new intelligent air-cooling control method is proposed. Based on the large-scale signal acquisition method, a new intelligent air-cooling system design scheme is proposed. The characteristics, hardware system design, software system design, main program design, oil temperature control design, comprehensive switching design, data sharing center design message flow design and other key links of the new intelligent transformer cooler control system are introduced in detail. The results show that the scheme can better meet the needs of unattended substation and realize the intelligent operation of substation. It can further improve the security capacity of transformer production and play an important role in the construction and development of smart grid.

Design and Implementation of Cost-effective Temperature Control and hotspot detection in Solar Panels using Aerial Vehicles

Design and Implementation of Cost-effective Temperature Control and hotspot detection in Solar Panels using Aerial Vehicles

Configuration Design of Superheated Steam Temperature Control for No.2 Unit of Diaobingshan Power Plant

Configuration Design of Superheated Steam Temperature Control for No.2 Unit of Diaobingshan Power Plant

Design of a Fuzzy Based Pid Algorithm for Temperature Control of An Incubator

The incubator is an apparatus that is used to regulate environmental conditions such as temperature, humidity control in an enclosure. To maintain the temperature of the incubator is difficult and challenging. This research paper proposes the design of an incubator temperature control by using fuzzy based PID. The proposed model construct of two fuzzy logic based PID controllers to control the temperature. This paper principally focuses on the designing of new fuzzy self-tuning PID algorithm. The error and changing error rate are inputs of the fuzzy based PID controller. The PID parameters are outputs of the fuzzy based PID controller. A set of fuzzy rules is used to regulate the PID parameters. The simulation result shows that the rising time, settling time & overshoot had reduced compared to PID control.

Controller Design for Temperature Control of MISO Water Tank System

This article introduces the design of split range control and fuzzy logic control for temperature control of the MISO (multiple input single output) water tank scheme. A multiple input single output (MISO) system is considered for the proposed work as most of the practical systems comprise of numerous MISO system. Investigations are conducted on the impact of control parameters, system dynamics and process disturbances. From the simulation outcomes, it is clearly inferred that the fuzzy logic controller outperformed split range control over all parameters.

Design of Temperature Controller for Irradiation Experiment in Nuclear Reactor

Indian nuclear research reactors provide facilities to carry out irradiation experiments on the core structural materials to assess the radiation damage in these materials. The radiation damage in the material strongly depends on the temperature of irradiation. The temperature-controlled instrumented irradiation capsule (TCIIC) is a device which facilitates irradiation of specimens at a constant higher temperature in a reactor. This paper discusses design of PID controller to establish a constant temperature in the TCIIC system. The control parameters are estimated through placement of dominant pole-zero in the “S-plane” and a stable region of the PID controller parameters was defined. The time response result from the proposed method has been compared with other well-known PID controller design methods and also verified experimentally. The proposed method shows that the controller parameters can provide a stable and reliable performance of temperature control needed in the irradiation experiment.

Indirect Temperature Measurement in High Frequency Heating Systems.

One of the biggest challenges of fused deposition modeling (FDM)/fused filament fabrication (FFF) 3D-printing is maintaining consistent quality of layer-to-layer adhesion, and on the larger scale, homogeneity of material inside the whole printed object. An approach for mitigating and/or resolving those problems, based on the rapid and reliable control of the extruded material temperature during the printing process, was proposed. High frequency induction heating of the nozzle with a minimum mass (<1 g) was used. To ensure the required dynamic characteristics of heating and cooling processes in a high power (peak power > 300 W) heating system, an indirect (eddy current) temperature measurement method was proposed. It is based on dynamic analysis over various temperature-dependent parameters directly in the process of heating. To ensure better temperature measurement accuracy, a series-parallel resonant circuit containing an induction heating coil, an approach of desired signal detection, algorithms for digital signal processing and a regression model that determines the dependence of the desired signal on temperature and magnetic field strength were proposed. The testbed system designed to confirm the results of the conducted research showed the effectiveness of the proposed indirect measurement method. With an accuracy of ±3 °C, the measurement time is 20 ms in the operating temperature range from 50 to 350 °C. The designed temperature control system based on an indirect measurement method will provide high mechanical properties and consistent quality of printed objects.

Implementasi Kontrol Lup Tertutup Multi Point Pada Pengatur Temperatur Oven Panggangan Roti

A designed temperature control system is a multi-channel closed lup control system. This design controls 2 objects at once, namely 2 separate toaster plants with different temperature sets. The output system controls 2 heaters on-off. Feedback comes from each LM35 temperature sensor that reads the temperature of each oven. Setpoin is given through input i.e. potentiometer with the value of each setpoin so that it allows to differ from each other. To program the work of the system used the C programming language with AVR code as a compiler. The circuit is equipped with an LCD display so that it can facilitate the setting setting. As a result, the system has been successfully assembled and tested with satisfactory results although there are still many shortcomings and weaknesses. The test results provide data on the performance of the tool to the time response and temperature stability.

Numerical Simulation of Thermal Performance for the Reaction Tubes in a Miniaturized Methanol Synthesis Reactor

The reaction of methanol synthesis via hydrogen and carbon dioxide which has a broad application prospect in the energy field should be carried out in a reasonable temperature range. Thus, a comprehensive thermal analysis under different work conditions for the reaction tube which is the really reaction place in the miniaturized methanol synthesis reactor is of great significance to its temperature control and thermal design. In this paper, the thermal analysis models of reaction tube in methanol synthesis reactor via hydrogen and carbon dioxide are established, through numerical simulation, the thermal performance results which include the molar ratio of methanol synthesis and temperature distribution inside reaction tubes changing with the reaction tube diameter, inlet gas temperature, and space velocity are obtained. Based on the results, the change laws of the methanol synthesis molar ratio and temperature distribution change with the three parameters are summed, which provide a reference to the thermal design and working conditions setting for the miniaturized methanol synthesis reactor of hydrogen and carbon dioxide.

Design of temperature and humidity control system on oyster mushroom plant house based on Internet of Things (IoT)

Oyster mushrooms are generally cultivated in kumbung covered by black colored plastic. This condition results in high temperatures and low humidity, so mushroom cultivation’s failure rate is very high. This research aimed to design and test temperature and humidity control systems’ performance based on the Internet of Things (IoT) on Oyster mushrooms kumbung. This study used an experimental method by controlling the microclimate inside the kumbung in Tanjung Karang Permai Sub-District, Sekarbela District, Mataram City. Research data were analyzed using the Microsoft Excel application. DHT 11 temperature sensor calibration on hygrometer with warm water showed a linear equation of y = 1.0402 x – 0.1423 and R2 = 0.9905, whereas using cold water was y = 1.081x – 1.7457 and R2 = 0.973. For the humidity calibration linear equation of y = 1.1203x – 8.3253 and R2 = 0.8606 was observed. Mean Absolute Percentage Error (MAPE) for warm water and cold water was 3,48% and 3.58%, respectively. In comparison, MAPE for RH was 0.082%. The temperature and humidity control system had been tested at a set point temperature of 28°C and humidity of 85%. The test results showed that mushrooms without a control system were yellowish, dry, and hard texture. Whereas with treatment, the fungus appeared white, wet, and soft texture. The number of mushrooms with treatments was higher and grew more evenly than without treatment. Based on these, it can be concluded that the control system could regulate microclimate inside mushroom kumbung, also successfully monitor it through mobile phones using the Blynk application.

PID Temperature Controller Design for Shell and Tube Heat Exchanger

PID Temperature Controller Design for Shell and Tube Heat Exchanger

Hybrid Design Optimization of Heating Furnace Temperature using ANFIS-PSO

-- Intelligent control design for industrial heating furnace temperature control is indispensable. PID, Fuzzy, and ANFIS controllers have been proven reliable and have been widely used. However, it is constrained in choosing a better gain controller. Then an approach method is given to determine the most appropriate controller gain value using the artificial intelligence tuning method. The artificial intelligence method used is a combination of the Adaptive Neuro Fuzzy Inference System and Particle Swarm Optimization (ANFIS-PSO) methods. As a comparison, several methods were used, namely; Conventional PID (PID-Konv), Matlab Auto tuning PID (PID-Auto), PSO tuned PID (PID-PSO), and Hybrid ANFIS-PSO. The ANFIS-PSO controller is the best choice compared to conventional single loop control systems, conventional PID, and matlab 2013a auto tuning methods to control this nonlinear process. The simulation results show that the ANFIS-PSO design is the best method with overshot = 0.0722, undershot 0.0085, and settling time at 18.8789 seconds which can produce a fast response with strong dynamic performance.

3-Dimensional finite element modelling of asphalt mixtures for thermal conductivity determination

ABSTRACT Laboratory determination of the thermal conductivity k of asphalt materials is time consuming. Numerical determination of k is more viable practically for the purpose of mix design and paving temperature control. Researchers have applied microstructure finite element models for k determination. The method requires modelling skills and is computational resources demanding. This study shows that a simple row-column finite-element model of cubical cells can be employed to predict k with the same level of accuracy as microstructure models. Based on theoretical considerations of heat conduction mechanism and the construction and paving process of asphalt mixtures, this study reveals that exact mixture microstructure representation is unnecessary and impractical for the k determination problem. The simple proposed model, having straight-forward finite-element mesh representation and high computational efficiency, offers a practical tool for k determination to enable timely thermal evaluation of mix design, temperature analysis for paving control, and structural behaviour study under thermal loading.

Adaptive PD Controller Performance for Direct Cooling of Thermoelectric Refrigerator

Refrigerator is the key component to keep the medicine and biological sample in the hospital. The domestic refrigerator has the problem of larger size and heavier weight since to the compact system like condenser, compressor, evaporator and expansion valve are assemble and using in the refrigerator. This project focused on design of temperature control of the portable thermoelectric refrigerator for medical purpose. Thermoelectric refrigerator is using the direct cooling method through thermoelectric module. Thermoelectric refrigerator has several advantages such as smaller size, lighter and silent when operated. Since maintain a constant temperature for the storage of medical product is important, a specific refrigerator is needed to ensure the medicine is stored in desired temperature. This project is to design and develop an adaptive control system which can perform a good temperature control for the thermoelectric refrigerator. The second order model is applied to design adaptive Proportional-Derivative (PD) controller. The selected controller is the adaptive PD controller because the performance of response shows 0.42°C of less steady state error and 0.21°C of lower undershoot. The adaptive PD control system designed able to let the refrigerator operate in different operating condition without influence the performance of the refrigerator.

Design and implementation of a fuzzy temperature control for a craft beer production microplant using PLC

In this study, a fuzzy-based PLC temperature control system was designed and implemented on a craft beer production plant. At present, the temperature-related controls of small-scale plants in Colombia are based on On/Off models, which are not very stable in the preparation of craft beer, which generates significant changes in flavor, scent and texture. Therefore, it is intended to incorporate into the craft beer industry, solutions that guarantee repeatability, minimize costs and potentiate production, for this, a three-stage fuzzy control model is carried out: design, implementation and start up; This is how a study of the plant´s dynamics is carried out, the response is determined from the data, a fuzzy controller is designed by using Matlab software, and a graphical interface in LabView for data capture and storage. The controller demonstrates stability in relation to the temperature variable, which provides repeatability and significant energy savings. Finally, it is concluded that the controller proved to be robust against major disturbances and stable at different temperatures, being a useful tool for efficiently controlling the variable.