Model Predictive Control for Vapor Compression Cycle of Refrigeration Process

Yin, Xiaohong; Li, Shaoyuan

doi:10.1007/s11633-015-0942-6

Cited by 7 publications

(2 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The PID control, fuzzy control, and artificial neural network control were implemented for superheat control in [9]. There are also applications of Model Predictive Control (MPC) for VCRS control [10]- [13]. A more exhaustive overview of possible approaches can be found in [14].…”

Section: Introductionmentioning

confidence: 99%

Model-based Electronic Expansion Valve Feed-forward Control for Electrified Automotive Vapor Compression Refrigeration System

Glos

Šolc

Václavek

2020

IECON 2020 the 46th Annual Conference of the IEEE Industrial Electronics Society

View full text Add to dashboard Cite

This paper presents a model-based method of electronic expansion valve feed-forward control for the automotive vapor compression refrigeration system. The model of the refrigeration system was assembled and the equation for expansion valve effective flow area was then derived. The computation of the expansion valve opening ratio is based on the system model and correction controller. The presented approach of expansion valve control was implemented on a test bench and successfully verified in real operation.

show abstract

Section: Introductionmentioning

confidence: 99%

Model-based Electronic Expansion Valve Feed-forward Control for Electrified Automotive Vapor Compression Refrigeration System

Glos

Šolc

Václavek

2020

IECON 2020 the 46th Annual Conference of the IEEE Industrial Electronics Society

View full text Add to dashboard Cite

show abstract

“…MBPC is considered to be a mature technique for linear and rather slow systems.The success of this control schema is due to the fact that it is considered the most general way for posing the control problem in the time domain [15] [16]. As a successful control, it is related to different types of systems such as interconnected one [12] [11] [13]. In this paper, we define an interconnected system (S) as a linear system composed of N interconnected subsystems (S i ).…”

Section: Introductionmentioning

confidence: 99%

Model based predictive control for linear interconnected systems

Dalhoumi

Chtourou

Djemel

2016

2016 13th International Multi-Conference on Systems, Signals &Amp; Devices (SSD)

View full text Add to dashboard Cite

The control of linear interconnected systems has become an area of significant research thanks to its various applications. This paper proposes the determination of a predictive control strategy for linear processes. The main idea is to formulate an approach for designing the model Based predictive control (MBPC) for large scale linear interconnected systems. This approach consists on associating a sub-MBPC for each sub-system. In fact, this works introduces a strategy to solve problems caused by the interactions among subsystems. The robustness and efficiency of the proposed approach are illustrated through numerical example.

show abstract