Implementation of a hybrid controller for critical building HVAC systems

Craig Rieger, D. Subbaram Naidu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Many industrial facilities utilize pressure control gradients to prevent migration of hazardous species from containment areas to occupied zones, often using Proportional-Integral-Derivative (PID) control systems. When operators rebalance the plant, variation from the desired gradients can occur and the operating conditions can change enough that the PID parameters are no longer adequate to maintain a stable system. As the goal of the ventilation control system is to optimize the pressure gradients and associated flows for the plant, Linear Quadratic Tracking (LQT) is a method that provides a time-based approach to guiding plant interactions. However, LQT methods are susceptible to modeling and measurement errors, and therefore the additional use of soft computing methods is proposed for implementation to account for these errors and nonlinearities. The performance of the resulting hybrid controller is demonstrated through simulation and experimental testing as compared to a representative PID controller.

Original languageEnglish (US)
Title of host publicationProceedings of the 11th IASTED International Conference on Intelligent Systems and Control, ISC 2008
Pages126-133
Number of pages8
StatePublished - Dec 1 2008
Event11th IASTED International Conference on Intelligent Systems and Control, ISC 2008 - Orlando, FL, United States
Duration: Nov 16 2008Nov 18 2008

Publication series

NameProceedings of the IASTED International Conference on Intelligent Systems and Control
ISSN (Print)1025-8973

Other

Other11th IASTED International Conference on Intelligent Systems and Control, ISC 2008
CountryUnited States
CityOrlando, FL
Period11/16/0811/18/08

Keywords

  • Fuzzy logic (FL)
  • HVAC
  • LQT
  • Neural network (NN)
  • Optimal
  • Tracking

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