| 摘要: |
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| DOI： |
| Received:November 11, 2005Revised:October 18, 2005 |
| 基金项目: |
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| Predictive functional control based on fuzzy T-S model for HVAC systems temperature control |
| Hongli Lü, Lei JIA, Shulan KONG, Zhaosheng ZHANG |
| (School of Control Science and Engineering,
Shandong University , Jinan Shandong 250061, China;School of Mathematics Science, Qufu Normal University, Qufu Shandong 273165, China) |
| Abstract: |
| In heating, ventilating and air-conditioning (HVAC) systems, there
exist severe nonlinearity, time-varying nature, disturbances and
uncertainties. A new predictive functional control based on
Takagi-Sugeno (T-S) fuzzy model was proposed to control HVAC
systems. The T-S fuzzy model of stabilized controlled process was
obtained using the least squares method, then on the basis of global
linear predictive model from T-S fuzzy model, the process was
controlled by the predictive functional controller. Especially the
feedback regulation part was developed to compensate uncertainties
of fuzzy predictive model. Finally simulation test results in HVAC
systems control applications showed that the proposed fuzzy model
predictive functional control improves tracking effect and
robustness. Compared with the conventional PID controller, this
control strategy has the advantages of less overshoot and shorter
setting time, etc. |
| Key words: T-S fuzzy model Predictive functional control Least squares
method HVAC systems |
