Nonlinear Model Identification Adaptive Heater Control Design for Loop Heat Pipes

Gellrich, Thomas; Zhang, Xiaoci; Schwab, Stefan; Hohmann, Soeren

doi:10.1109/ccta.2019.8920525

Cited by 3 publications

(4 citation statements)

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“…For the nonlinear state-space system (37), a Lyapunov-based controller is designed. Similar to the control design process in [7], the controlled variable is the CC temperature, which corresponds to the first state in (37). The manipulated variable Qcc as control heater output has only an direct impact on the first state, the CC temperature.…”

Section: Model-based Control Designmentioning

confidence: 99%

“…For the validations of the proposed LHP model and the designed controller, the numerical model of [21] is used as LHP simulation, which was already adapted and used for controller validation in [7]. This LHP simulation is fitted and validated with measurements from the test bench of the considered LHP and provides a detailed simulation of the LHP temperatures over the entire operating range.…”

Section: Numerical Validationmentioning

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%

“…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%

See 3 more Smart Citations

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: Model-based Control Designmentioning

confidence: 99%

Section: Numerical Validationmentioning

confidence: 99%