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If you are looking for a research
position (Research Fellow/Associate/Assistant) or PhD/MPhil study and
interested in the following research topics, please feel free to contact with
me.
Robust Control
for HVAC Processes: HVAC systems are
characterized by uncertainties, nonlinearities and constraints. Because the
control performance of local loops in HVAC systems influences significantly
the efficiency of Building Automaiton System (BAS),
to improve the local-loop control performance is not only for maintaining the
whole system operating efficiently but also for energy conservation. This
research is to systematically study the modeling of complex MIMO HVAC
processes for robust control design and to develop practical robust control
algorithms for such processes (computationally undemanding, easily
understandable with less user intervention)
Optimal and
supervisory control for building systems:
Optimal and supervisory control addresses the energy efficiency control of intelligent
building systems, which optimizes the system operation while provides the
desired indoor comfort and healthy environment under dynamic working
conditions. General framework for optimal and supervisory control for
building systems has been established, but current methods and techniques
cannot obtain desirable and satisfactory performance in practice. Future
research work is to further understand the application capacity of current
techniques and develop practical optimization strategies.
Fault detection
and diagnosis strategies for building systems: Fault detection and diagnosis strategies for building
energy performance, HVAC subsystems and their control instrumentations (i.e.
sensors, drivers, etc.) are used to guarantee the building systems operating
efficiently. I studied fault detection and diagnosis for robust chiller
sequencing control. With the building automation system becoming more and
more complex, future research will concentrate on developing system-level
fault detection and diagnosis strategies based on energy/mass balance.
Intelligent
building system integration: This
research is to establish a network-based management platform which integrates
various types of controllers, sensors, control devices and intelligent
building management subsystems and make them function as a system. Since a
large intelligent building consists of thousands of components, to establish
an efficient communication network is the key issue of this research. In the
future, I want to investigate the application of new communication models,
such as wireless or peer-to-peer techniques, in intelligent building systems.
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