Control Strategies for Multi-Evaporator Vapor Compression Cycles

Abstract

Next-generation military aircraft must be able to handle highly transient thermal loads that exceed the ability of current aircraft thermal subsystems. Vapor compression cycle systems are a particular refrigeration technology that is an attractive solution for dealing with this challenge, due primarily to their high efficiency. However, there are several barriers to realizing the benefits of vapor cycles systems for controlling thermal loads in military aircraft. This thesis focuses on addressing the challenge of controlling vapor cycles in the presence of highly transient evaporator heat loads. Specifically, a linear quadratic regulator (LQR) is designed for a simple vapor cycle system, and closed-loop performance is compared with a set of proportional-integral (PI) controllers. Simulation results show significant advantages of using the LQR method, and the same approach is repeated for a larger dual-evaporator vapor cycle system. The LQR method retains some of its benefits, but several issues associated with relying on a single linear model for the full nonlinear system are identified, and recommendations for future work are made at the end.

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Document Details

Document Type
Technical Report
Publication Date
Mar 21, 2019
Accession Number
AD1073727

Entities

People

  • Anthony N. Palazotto
  • Meir Pachter
  • Nicholas P. Niedbalski
  • Sunderlin D. Jackson

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Aircrafts
  • Closed Loop Systems
  • Control Systems
  • Control Systems Engineering
  • Heat Exchangers
  • Linear Systems
  • Military Aircraft
  • Model Predictive Control
  • Nonlinear Dynamics
  • Nonlinear Systems
  • Regulators
  • Research Facilities
  • Simulations
  • United States
  • United States Government

Fields of Study

  • Engineering

Readers

  • Electrical Engineering
  • Life Cycle Cost Analysis
  • Robotics and Automation.