| Predictive functional control based on fuzzy T-S model for HVAC systems temperature control |
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| 作者姓名： | Hongli Lü Lei JIA Shulan KONG Zhaosheng ZHANG |
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| 作者单位： | [1]School of Control Science and Engineering, Shandong University, Jinan Shandong 250061, China [2]School of Mathematics Science, Qufu Normal University, Qufu Shandong 273165, China |
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| 基金项目： | This work was supported by Young Scientists Fundamental Research Program of Shandong Province of China （No. 031B5147） |
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| 摘 要： | 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.
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| 关 键 词： | HVAC系统 温度控制 模糊T-S模型 预测函数控制 |
| 收稿时间： | 2005-11-11 |
| 修稿时间： | 2006-10-18 |
Predictive functional control based on fuzzy T-S model for HVAC systems temperature control |
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| Hong Lü,Lei Jia,Shulan Kong,Zhaosheng Zhang.Predictive functional control based on fuzzy T-S model for HVAC systems temperature control[J].Journal of Control Theory and Applications,2007,5(1):94-98. |
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| Authors: | Hong Lü Lei Jia Shulan Kong Zhaosheng Zhang |
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| Affiliation: | 1. School of Control Science and Engineering,Shandong University,Jinan Shandong 250061,China
2. School of Mathematics Science,Qufu Normal University,Qufu Shandong 273165,China |
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| 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. |
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| Keywords: | T-S fuzzy model Predictive functional control Least squares
method HVAC systems |
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