Model-Based Heater Control Design for Loop Heat Pipes

Gellrich, Thomas; Schuermann, Tobias; Hobus, Florian; Hohmann, Soeren

doi:10.1109/ccta.2018.8511470

Cited by 4 publications

(6 citation statements)

References 15 publications

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“…In this section, an analytical transient model of the LHP with lumped parameters is created in the form of a state-space model as required for model-based control design. In contrast to the previous work in [6], the aim in this paper is to model the fluid's dynamics to extend the scope and to improve the accuracy of the LHP model. Furthermore, a detailed modeling of the condenser and the LL is included.…”

Section: Lhp State-space Modelingmentioning

confidence: 99%

“…The temperature-dependent parameters are calculated from the corresponding temperatures in the OP with the functions in Appendix A (see Assumption 6). Following the parameter determination process in [6], the lumped parameters R wick , k 2φ , k sc , and k ll are calculated by solving the stationary equations of (37). Unfortunately, the system of equations for the lumped parameters is not solvable due to the dependent differential equations (17) and (18), and the implicit forms of ( 25), (34), and (35).…”

Section: Parameter Determinationmentioning

confidence: 99%

“…At first, the proposed LHP model (Model B) is compared to the LHP simulation (Sim) and to the LHP model (Model A) of [6], whose temperatures are validated with experimental data. Second, the nonlinear Lyapunov-based controller (Controller B) based on the proposed LHP model is compared in the LHP simulation to the nonlinear Lyapunov-based controller (Controller A) of [7], where the compared LHP model of [6] is used in the control design.…”

Section: Numerical Validationmentioning

confidence: 99%

“…The transfer function of the CC temperature as linear black box model is identified to calculate the PI parameters of a two-degree-of-freedom controller for improved disturbance response. In [6], the PI parameters are physically motivated with a linearized LHP state-space model and the stationary mass flow rate as system parameter. However, to improve the robustness of the LHP operating temperature control against the aforementioned influences, more sophisticated control algorithms for the control heater are necessary [15].…”

Section: Introductionmentioning

confidence: 99%

“…However, to improve the robustness of the LHP operating temperature control against the aforementioned influences, more sophisticated control algorithms for the control heater are necessary [15]. In [7], a nonlinear model identification adaptive control is designed by interpreting the underlying LHP model of [6] as nonlinear parameter-varying system. Introducing an online parameter estimation and temperature prediction, the time variance of the transient mass flow rate is included to achieve an improved performance of the operating temperature control without extending the underlying control model.…”

Section: Introductionmentioning

confidence: 99%

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Dynamic state-space modeling and model-based control design for loop heat pipes

Gellrich¹,

Clara²,

Okraschevski³

et al. 2020

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For the thermal control of electronic components in aerospace, automotive or server systems, the heat sink is often located far from the heat sources. Therefore, heat transport systems are necessary to cool the electronic components effectively. Loop heat pipes (LHPs) are such heat transport systems, which use evaporation and condensation to reach a higher heat transfer coefficient than with sole heat conduction. The operating temperature of the LHP governs the temperature of the electronic components, but depends on the amount of dissipated heat and the temperature of the heat sink. For this reason, a control heater on the LHP provides the ability to control the operating temperature at a fixed setpoint temperature. For the model-based control design of the control heater controller, the current LHP state-space model in the literature focuses on the setpoint response without modeling the fluid's dynamics. However, the fluid's dynamics determine the disturbance behavior of the LHP. Therefore, the fluid's dynamics are incorporated into a new LHP state-space model, which is not only able to simulate the LHP behavior under disturbance changes, but is also used for the model-based design of a robust nonlinear controller, which achieves an improved control performance compared to the nonlinear controller based on the previous LHP state-space model.

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Section: Lhp State-space Modelingmentioning

confidence: 99%