A PI<sup>λ</sup>D<sup>μ</sup> controller design for peltier-thermoelectric cooling system

Kungwalrut, Pranai; Numsomran, A.; Chaiyasith, P.; Chaoraingern, Jutarut; Tipsuwanporn, V.

doi:10.23919/iccas.2017.8204331

Cited by 7 publications

(5 citation statements)

References 16 publications

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“…The test was done by adjusting the process parameter, the gain of pumps (kp1, kp2) to 50%  for validating the robustness of controller in nonminimum phase of multi-configuration tank process that have the process parameter perturbations. This finding validates the usefulness of the proposed technique over a non-adaptive fractional-order PI λ D μ controller in [27] that adaptive mechanism of the adaptive fractional-order PI λ D μ controller is capable of adjusting the controller gain  …”

Section: The Performance Analysis For Non-minimum Phasesupporting

confidence: 73%

“… controller in [27] that adaptive mechanism of the adaptive fractional-order PI λ D μ controller is capable of adjusting the controller gain  …”

Section: Pi Dmentioning

confidence: 99%

“…,, P I D K K K to ensure the system to meet the same desired specifications at almost every step set-point, even though the process parameters was changed over 45% compared to the robustness evaluation of the previous work [27] which has the variation of the response in settling time and overshoot.…”

Section: Pi Dmentioning

confidence: 99%

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Adaptive Fractional Order PIλDμ Control for Multi-Configuration Tank Process (MCTP) Toolbox

Numsomran¹,

Trisuwannawat²,

Tipsuwanporn³

2018

IJIES

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This paper presents an adaptive fractional order PI λ D μ control for multi-configuration tank process (MCTP) toolbox which aims at demonstrating the problem of reference tracking and cross coupling rejection in multi-input-multi-output system. Moreover, we investigate the cases where the system is in the mode of minimum phase and non-minimum phase configuration. Besides providing theoretical control system analysis and design, we develop the multi-configuration tank process software toolbox for providing the non-linear functions of dynamic models of multi-configuration tank process which is the advantage tool for investigating the performances of the controllers. The software toolbox is developed from discrete state P-file S-function which is operated within the MATLAB environment for providing many non-linear functions of dynamic models of multi-configuration tank process such as multi-input multi-output quadruple tank full-interacting process, multi-input multi-output quadruple tank process, multi-input single-output triple tank interacting process, multi-input multi-output coupled tank interacting process. All actual process attributes are encapsulated in S-function as the input parameters, thus the multi-tank function block can be simply adjusted by specifying the physical properties of the tank system. The study explains about the mathematical model of multi-configuration tank process, nonlinear dynamic characteristic, minimum phase and non-minimum phase configuration, software toolbox features and also describes the design of the adaptive fractional order PI λ D μ controller including the performance validation. The results have been illustrated that the proposed controller design scheme can provide the sufficient effectiveness in the performance, stability and robustness. Furthermore, these tests reinforce the usefulness of MCTP toolbox as a complete simulation tool for users to perform an engineering research of multi-configuration tank control system analysis and design, moreover, it contains very useful for validating the control algorithm of multi-input-multi-output system.

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Section: The Performance Analysis For Non-minimum Phasesupporting

confidence: 73%

“… controller in [27] that adaptive mechanism of the adaptive fractional-order PI λ D μ controller is capable of adjusting the controller gain  …”

Section: Pi Dmentioning

confidence: 99%

See 1 more Smart Citation

Adaptive Fractional Order PIλDμ Control for Multi-Configuration Tank Process (MCTP) Toolbox

Numsomran¹,

Trisuwannawat²,

Tipsuwanporn³

2018

IJIES

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“…Temperature regulation with Peltier modules is frequently achieved using full proportional-integral-derivative (PID) controllers, requiring the parameters of the plant to be first identified in order to determine the optimum term coefficients [ 9 ]. More recently, a fractional-order PID controller was proposed [ 10 ]; although it improves performance, its implementation and optimization is more demanding. A PI or P + I offers a simpler solution, but still requires the transfer function of the plant to be known and a transfer function zero to be cancelled out [ 11 ].…”

Section: Methodsmentioning

confidence: 99%

Analysis of Efficiency of Thermoelectric Personal Cooling System Based on Utility Tests

et al. 2022

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Thermoelectric modules can find practical application in clothing with a cooling function. A personal cooling system using Peltier modules integrated with clothing was developed and tested with the participation of a person. A dedicated electronic controller was designed that enabled the power or temperature to be controlled and recorded. In the research, the influence of heat sinks and the method of controlling the operation of the module on the cooling efficiency was assessed. The research was aimed at selecting the operating mode of the controller and choosing the arrangement of modules comparing cooling efficiency. The research showed that by selection of appropriate controlling mode, the electric power used can be reduced while keeping the cooling efficiency at the same level. The location of Peltier modules in places where they can tightly adhere to the body increases their performance.

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“…In a similar vein, ref. [12] tests the performance of a FOPID controller on a thermoelectric module, taking into consideration the process time delay. Meanwhile, ref.…”

Section: Introductionmentioning

confidence: 99%

Uncertainty Observer-Based Control for a Class of Fractional- Order Non-Linear Systems with Non-Linear Control Inputs

Montesinos-García,

Barahona-Avalos,

Linares-Flores

et al. 2023

Fractal Fract

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This paper presents a novel control strategy based on an uncertainty estimator for a class of fractional-order nonlinear systems characterized by a polynomial input. The proposed strategy allows the system to be controlled without resorting to transformations or approximate linearization. This is accomplished by using a fractional-order sliding-mode observer, whose task is to estimate certain portions of the state of the nonlinear system of a non-integer order, thus allowing the control law to counteract these elements to steer the system towards a desired behavior. To validate the performance of the proposed strategy, it was implemented, both in simulation and experimentally, to regulate the temperature of the cold side of a thermoelectric module fed by a DC/DC electronic power converter of the step-down type, a system that is known to have a nonlinear polynomial-type control input.

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A PI^λD^μ controller design for peltier-thermoelectric cooling system

Cited by 7 publications

References 16 publications

Adaptive Fractional Order PIλDμ Control for Multi-Configuration Tank Process (MCTP) Toolbox

Adaptive Fractional Order PIλDμ Control for Multi-Configuration Tank Process (MCTP) Toolbox

Analysis of Efficiency of Thermoelectric Personal Cooling System Based on Utility Tests

Uncertainty Observer-Based Control for a Class of Fractional- Order Non-Linear Systems with Non-Linear Control Inputs

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A PIλDμ controller design for peltier-thermoelectric cooling system

Cited by 7 publications

References 16 publications

Adaptive Fractional Order PIλDμ Control for Multi-Configuration Tank Process (MCTP) Toolbox

Adaptive Fractional Order PIλDμ Control for Multi-Configuration Tank Process (MCTP) Toolbox

Analysis of Efficiency of Thermoelectric Personal Cooling System Based on Utility Tests

Uncertainty Observer-Based Control for a Class of Fractional- Order Non-Linear Systems with Non-Linear Control Inputs

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A PI^λD^μ controller design for peltier-thermoelectric cooling system