Various PID controller tuning for air temperature oven system

Hambali, Najidah; Ang, Alaniah Ab. Rahim; Ishak, Abdul Aziz; Janin, Zuriati

doi:10.1109/icsima.2014.7047441

Cited by 16 publications

(11 citation statements)

References 15 publications

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“…The electric resistances control happens through a PI (proportional-integral) regulator, whose algorithm has been implemented on the microcontroller. The PI parameters were determined by means of the Ziegler-Nichols method [44]. The control phase is performed by voltage regulation of the electric resistances thanks to a full AC wave control circuit, managed by a trigger module.…”

Section: Proposal Of a New Integrated Systemmentioning

confidence: 99%

Integrated Measuring and Control System for Thermal Analysis of Buildings Components in Hot Box Experiments

et al. 2019

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In this paper, a novel integrated measuring and control system for hot box experiments is presented. The system, based on a general-purpose microcontroller and on a wireless sensors network, is able to fully control the thermal phenomena inside the chambers, as well as the heat flux that involves the specimen wall. Thanks to the continuous measurements of air and surfaces temperatures and energy input into the hot chamber, the thermal behavior of each hot box component is analyzed. A specific algorithm allows the post-process of the measured data for evaluating the specimen wall thermal quantities and for creating 2D and 3D thermal models of each component. The system reliability is tested on a real case represented by a double insulating X-lam wall. The results of the 72 h experiment show the system’s capability to maintain stable temperature set points inside the chambers and to log the temperatures measured by the 135 probes, allowing to know both the U-value of the sample (equal to 0.216 ± 0.01 W/m2K) and the thermal models of all the hot box components. The U-value obtained via hot box method has been compared with the values gathered through theoretical calculation and heat flow meter measurements, showing differences of less than 20%. Finally, thanks to the data postprocessing, the 2D and 3D thermal models of the specimen wall and of the chambers have been recreated.

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Section: Proposal Of a New Integrated Systemmentioning

confidence: 99%

Integrated Measuring and Control System for Thermal Analysis of Buildings Components in Hot Box Experiments

et al. 2019

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“…Various temperature control methods such as traditional PID control system, Adaptive and Fuzzy Algorithm, fuzzy-PID control system, etc. [4,5,6] have been proposed in other works. Also, there are various methods energy can be made available to raise the temperature of oven and its content to required degree [7,8].…”

Section: Introductionmentioning

confidence: 99%

Hybrid Solar Thermal/Electricity Automated Oven

Victor¹,

Ejiogu²

2020

Adv. sci. technol. eng. syst. j.

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This paper presents hybrid solar thermal/electricity automated oven. The work compares sliding mode control (SMC) to traditional PID control of the oven system using MATLAB/Simulink 2014b model. SMC control method shows faster rise and settling time. The control technique has been designed to automate change of temperature level of the oven by accepting multiple reference inputs. This has been implemented using microcontroller programed in C++. Flat-plate solar thermal collector and paint curing oven have also been implemented for experimental test. The results obtain from the experiments are in conformity to the simulation results. The collector delivers 43.27% of the total energy required to operate the oven up to 120°C at 200W/m2 solar insolation. Calculation of payback period for commercial viability on the cost of the collector installation indicates a year and four months for an average insolation of seven hours per day. These results demonstrate that the research work is effective and solves the problem of temperature control in curing modern organic paints and the challenge of power requirements in the operation of oven.

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“…The temperature will depend on the adjustment of control variables, so that it conforms to the stability and other process requirements. has demonstrated the best rise time, settling time, and smallest integral absolute error [13].…”

Section: Introductionmentioning

confidence: 99%

“…Temperature in the chamber is measured by RTD and thermocouple. Information from the sensors is used by the single-loop system to control the heater via continuous output current control[13].…”

mentioning

confidence: 99%

Evaluation of RTD and thermocouple for PID temperature control in distributed control system laboratory

Nazarudin

Nordin

Ahmad

et al. 2018

J. Fundam and Appl Sci.

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Temperature process control is an integral element in the syllabus of control engineering. Generally, industrial processes can be simulated via controller and various tunings methods. sequence of experiments in basic temperature control process. The experiments are performed on temperature control plant using resistor temperature detector distributed control system laboratory. optimum tuning of the controller using Ziegler ultimate gain and response of various values to the temperature control. and thermocouple sensors.

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Various PID controller tuning for air temperature oven system

Cited by 16 publications

References 15 publications

Integrated Measuring and Control System for Thermal Analysis of Buildings Components in Hot Box Experiments

Integrated Measuring and Control System for Thermal Analysis of Buildings Components in Hot Box Experiments

Hybrid Solar Thermal/Electricity Automated Oven

Evaluation of RTD and thermocouple for PID temperature control in distributed control system laboratory

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