Abstract
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.
| Original language | English |
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| DOIs | |
| Publication status | Published - 2006 |
| Event | 23rd International Manufacturing Conference - Jordanstown, United Kingdom Duration: 30 Aug 2006 → 1 Sep 2006 |
Conference
| Conference | 23rd International Manufacturing Conference |
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| Country/Territory | United Kingdom |
| City | Jordanstown |
| Period | 30/08/06 → 1/09/06 |
Keywords
- control
- pilot scale laboratory
- heating and ventilation system
- 2x2 multi-input
- multi-output (MIMO)
- process reaction curve
- first order lag plus delay (FOLPD)
- flow process
- temperature process
- non-linear
- gain scheduler
- static decoupling
- look-up tables
- proportional-integral (PI)
- proportional-integral-derivative (PID)
- controller settings
- decoupler gains
- controller design cycle