Design of the Centralized Robust Model Predictive Controller for Automotive Air Conditioning System

Abstract :

Automotive air conditioning works based on refrigeration cycle. The simplest model of this cycle is multi input-multi output and has operator constraints, so model predictive control due to its features is considered as a convenient approach to control the system. But using the exact model of the process is one the explicit needs of this controller, while the automotive air conditioning system is affected by unknown disturbances. For a moving vehicle, the relative speed change of wind could change air mass flow rate in heat exchangers of refrigeration cycle. In this paper, designing the robust model predictive control is done based on linear matrix inequalities to compensate the effects of this disturbance. Other external disturbances that affect the performance of this system, is the increase in ambient temperature, which reduces performance coefficient of automotive air conditioning system and increases the cooling load applied to it. In this paper disturbance because of changing ambient temperature is added to the model then design of the centralized robust model predictive control is done in the presence of both referred disturbances to the system. Thus, predictive control weakness in the rejection of these disturbances is compensated.

References:

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