Advanced controllers for building energy management systems. Advanced controllers based on traditional mathematical methods (MIMO P+I, state-space, adaptive solutions with constraints) and intelligent solutions (fuzzy logic and genetic algorithms) are investigated for humidifying, ventilating and air-conditioning applications.

Advanced controllers for building energy management systems. Advanced controllers based on traditional mathematical methods (MIMO P+I, state-space, adaptive solutions with constraints) and intelligent solutions (fuzzy logic and genetic algorithms) are investigated for humidifying, ventilating and air-conditioning applications.

This thesis presents the design and implementation of control strategies for building energy management systems (BEMS). The controllers considered include the multi PI-loop controllers, state-space designs, constrained input and output MIMO adaptive controllers, fuzzy logic solutions and genetic a...

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Bibliographic Details
Main Author: Ghazali, Abu Baker MHD.
Other Authors: Virk, G.S.
Language:en
Published: University of Bradford 2010
Subjects:
Air-conditioning
Ventilation
Advanced controllers
Building energy management systems
Humidification
Mathematical solutions
Intelligent solutions
Multi-input/multi-output (MIMO) systems
Multivariable P+I controllers
State-space methods
Modal control
Constrained adaptive control
Fuzzy logic controllers
Genetic algorithms
Online Access:http://hdl.handle.net/10454/4197

Internet

http://hdl.handle.net/10454/4197

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