2017/01/13 by Quansheng Zhang, Zhang, Xu
Engineering · Mathematics · #FOS: Electrical engineering #Numerical methods for differential equations #Power System Optimization and Stability #Systems and Control (eess.SY) #Vehicle Dynamics and Control Systems #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1701.03785
openalex publication_date 2017/01/13 · openalex created_date 2017/01/26 · openalex updated_date 2026/07/28
This paper investigates an output tracking problem for the vapor compression cycle in automotive Air Conditioning (A/C) systems using Linear Parameter Varying (LPV) techniques. Stemming from a recently developed first-principle A/C model, Jacobian linearization is first exploited to develop an LPV-based model that is nonlinearly dependent on time-varying system parameters such as evaporator pressure and superheat temperature. To facilitate the control implementation, a Tensor Product (TP) model transformation is applied to transform the LPV-based model to a TP-type convex polytopic model. LPV controllers are then designed to guarantee system stability, robustness and H-infinity performance. Simulations are presented to demonstrate the efficacy of the developed framework.