Paper Info
Title
Vapor Compression Cycle Control for Automotive Air Conditioning Systems with a Linear Parameter Varying Approach.
Abstract
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.
Year
Venue
Field
2017
arXiv: Systems and Control
Tensor product,Air conditioning,Model transformation,Jacobian matrix and determinant,Control theory,Robustness (computer science),Control engineering,Evaporator,Mathematics,Linearization,Automotive industry
DocType
Volume
Citations 
Journal
abs/1701.03785
0
PageRank 
References 
Authors
0.34
1
2
Name
Order
Citations
PageRank
Quansheng Zhang121.15
Xu Zhang22816.75