Modeling and output feedback control of automotive air conditioning system

Zhang, Quansheng; Canova, Marcello

doi:10.1016/j.ijrefrig.2015.06.005

Cited by 13 publications

(4 citation statements)

References 32 publications

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“…σ = 0 in Equation ( 6). To determine u c to control T o , Equation ( 4) is transformed into a generalized expression, as in Equation (8).…”

Section: Design Of Smc With Kalman State Observermentioning

confidence: 99%

“…Equation ( 9) is obtained by reflecting the result of Hankel's singular value decomposition to analyze the contribution of the state variable x j (j = 1, 2) to the output y(= T o ) in the output equation of Equation (8).…”

Section: Design Of Smc With Kalman State Observermentioning

confidence: 99%

“…Optimal control strategies, such as those based on a linear quadratic regulator and linear quadratic Gaussian, are suitable to design controllers for MIMO systems and ensure optimality by balancing the control accuracy and input energy. However, such controllers also cannot ensure robustness against model uncertainties and disturbances [3,[8][9][10]. Notably, fuzzy control, which is an AI technique, does not require the dynamic model of a plant when designing the control system.…”

Section: Introductionmentioning

confidence: 99%

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Robust Temperature Control of a Variable-Speed Refrigeration System Based on Sliding Mode Control with Optimal Parameters Derived Using the Genetic Algorithm

Lee

Jeong

2021

Energies

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A sliding mode control (SMC) technique based on a state observer with a Kalman filter and feedforward controller was established for a variable-speed refrigeration system (VSRS) to ensure robust control against model uncertainties and disturbances, including noise. The SMC was designed using a state-space model transformed from a practical transfer function model, which was derived by conducting dynamic characteristic experiments. Fewer parameters affecting the model uncertainty were required to be identified, which facilitated modeling. The state observer for estimating the state variables was designed using a Kalman filter to ensure robustness against noise. A feedforward controller was added to the control system to compensate for the deterioration in the transient characteristics due to the saturation function used to avoid chattering. A genetic algorithm was used to alleviate the trial and error involved in determining the design parameters of the saturation function and select optimal values. Simulations and experiments were conducted to verify the control performance of the proposed SMC. The results show that the proposed controller can realize robust temperature control for a VSRS despite stepwise changes in the reference and external heat load, and avoid the trial and error process to design parameters for the saturation function.

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“…σ = 0 in Equation ( 6). To determine u c to control T o , Equation ( 4) is transformed into a generalized expression, as in Equation (8).…”

Section: Design Of Smc With Kalman State Observermentioning

confidence: 99%

Section: Design Of Smc With Kalman State Observermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Robust Temperature Control of a Variable-Speed Refrigeration System Based on Sliding Mode Control with Optimal Parameters Derived Using the Genetic Algorithm

Lee

Jeong

2021

Energies

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“…whereṁ is the refrigerant mass flow rate and ∆h is specific enthalpy difference between compressor inlet and outlet. The compressor refrigerant mass flow rate can be written as [11]…”

Section: B Pressure and Temperature Measurement Approachmentioning

confidence: 99%

Minimizing Power Consumption of Automotive AC System by Condenser Fan Speed Control

Glos

Kozovský

Šolc

et al. 2020

2020 IEEE 29th International Symposium on Industrial Electronics (ISIE)

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This paper introduces three methods of an automotive refrigeration compressor power measurement and computation. All the methods are evaluated on a test bench with convenient results. The model-based method in combination with the condenser model and condenser fan characteristic is then used for assembly of an optimization problem, which has been solved to find an optimal condenser fan speed for a combination of compressor speed and ambient temperature. This method of condensing pressure (temperature) control can be useful to achieve minimal power consumption of the refrigeration system for electric vehicles and even in other application areas with variable speed compressors and condenser fans.

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Fault Detection and Isolation of Automotive Air Conditioning Systems using First Principle Models

Zhang¹,

Canova²

2016

Automotive Air Conditioning

Self Cite

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Although model-based fault tolerant control (FTC) has become prevalent in various engineering fields, its application to air-conditioning systems is limited due to the lack of controloriented models to characterize the phase change of refrigerant in the vapor compression cycle. The emergence of moving boundary method (MBM) illuminates a promising way for FTC design. In this paper, we exploit a control-oriented nonlinear model comparable to MBM to design an FTC framework with a generalized internal model control (GIMC) approach. A fault detector and isolator (FDI) is developed to identify potential actuator and sensor faults. A fault compensator is employed to compensate these faults if detected. Comprehensive simulations are carried out to evaluate the developed FTC framework with promising results. Plant variations are explicitly considered to enhance the gain-scheduled FTC developments.

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Modeling and output feedback control of automotive air conditioning system

Cited by 13 publications

References 32 publications

Robust Temperature Control of a Variable-Speed Refrigeration System Based on Sliding Mode Control with Optimal Parameters Derived Using the Genetic Algorithm

Robust Temperature Control of a Variable-Speed Refrigeration System Based on Sliding Mode Control with Optimal Parameters Derived Using the Genetic Algorithm

Minimizing Power Consumption of Automotive AC System by Condenser Fan Speed Control

Fault Detection and Isolation of Automotive Air Conditioning Systems using First Principle Models

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