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| Dynamic Soft Measurement Modeling Method of T-LSSVR in Systems with Time Delay |
| ZHAO Yan-tao1,SHAN Ze-yu1,LONG Hai-feng2,LIU He-peng1,HAO Xiao-chen1 |
1.Institute of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei 066004, China
2.Beijing Research Institute of Precise Mechatronics and Controls, Beijing 100076, China |
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Abstract For the delay problem in industrial process system, which lead to not soft sensor modeling in real-time or the lower accuracy of measurement, a modeling method for dynamic soft measurement based on a new algorithm (T-LSSVR) which combines the system delay (T) and least squares support vector regression (LSSVR) was presented.In order to achieve the best estimate of the auxiliary variables, the “static response delay” and “dynamic response delay” can be identified by cross-correlation function and the first order difference algorithm during modeling to the leading variables by the means of soft measurement to predict variables in the method.The soft measurement model was applied to a system with such double-delayed nature of a chemical company and the results show that its prediction achieved good results in terms of both dynamic and steady-state data.
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Received: 04 February 2017
Published: 07 January 2019
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2019, Vol. 40 
