Title :
Adaptive Smith predictive control based on parameter identification
Author :
Jiang Hongmei ; Cai Dongdong ; Nian Yugui ; Ren Qingchang
Author_Institution :
Coll. of Electr. & Inf. Eng., Lanzhou Univ. of Technol., Lanzhou, China
Abstract :
The variable air volume air-conditioning system always keep the temperature of supply air constant. But the supply air temperature control system have pure time delay because of heat exchange, also, because the control object is influenced by many factors, that make the system model also changed. By the characteristics of pure time delay and model time-varying, in order to make the supply air temperature to achieve the purpose of accurately and smoothly, this paper puts forward a kind of adaptive Smith predictive control algorithm, using a gradient correction method for online identification parameters, and applied this model design Smith predictive controller, making the control effect is more superior, not only be able to improve the quality control, but also has strong robustness.
Keywords :
adaptive control; air conditioning; control system synthesis; delays; gradient methods; parameter estimation; predictive control; temperature control; Smith predictive controller design; adaptive Smith predictive control; control effect; control object; gradient correction method; heat exchange; model time-varying characteristics; parameter identification; pure time delay characteristics; quality control; supply air temperature control system; variable air volume air-conditioning system; Adaptation models; Atmospheric modeling; Mathematical model; Predictive control; Predictive models; Temperature control; Adaptive; Parameter identification; Smith control; VAV system;
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese