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This paper details the control of a pilot scale laboratory heating and ventilation system. The system is represented in 2x2 multi-input, multi-output (MIMO) form. A process reaction curve identification technique was used to model (in first order lag plus delay - FOLPD - form) the flow process and temperature process portions of the system, over a range of operating conditions. Tests revealed that both processes were continuously non-linear. A gain scheduler with static decoupling was designed, using look-up tables, to continuously interpolate for the most suitable proportional-integral (PI) or proportional-integral-derivative (PID) controller settings and decoupler gains. The contribution of this paper is the careful application, using well-known techniques, of a complete controller design cycle for a laboratory scale system.
Mooney, Robin and O'Dwyer, Aidan : A case study in modeling and process control: the control of a pilot scale heating and ventilation system. Proceedings of IMC-23; the 23rd International Manufacturing Conference, pp. 123-130, University of Ulster, Jordanstown, August, 2006. doi:10.21427/gqcb-9d71