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contributor authorHe, Ning;Li, Shang;Hao, Wenbin;Xu, Gongbo;Liu, Liqiang
date accessioned2023-04-06T13:04:18Z
date available2023-04-06T13:04:18Z
date copyright10/17/2022 12:00:00 AM
date issued2022
identifier issn220434
identifier otherds_144_12_121005.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4289022
description abstractDue to the ability of handling the coupling property of multivariable control system, generalized predictive control (GPC) has been widely employed in process industry. However, the existing GPC method normally utilizes the frequency domain indices in the design procedure, which is not intuitive to the industrial end users. Therefore, a new GPC method with improved time domain performance is proposed for multipleinputmultipleoutput system. First, the slope and rate of change of the slope of the system outputs are considered as two new weighting terms in the cost function of GPC such that the dynamic characteristics of the system can be better considered in the optimal control problem of the controller. Second, given the modified cost function, the resultant GPC algorithm is developed to improve the time domain performance of the system. Third, the convergence and stability of the closedloop system under the proposed method are theoretically proved. Finally, the experimental results based on the variable air volume (VAV) air conditioning system show that the time domain performance indices, including overshoot and settling time, of the proposed method, have been improved by 68.75% and 66.67%, compared with the traditional GPC, showing the advantages of the new GPC method.
publisherThe American Society of Mechanical Engineers (ASME)
titleA Novel Generalized Predictive Control Strategy With Improved Time Domain Performance
typeJournal Paper
journal volume144
journal issue12
journal titleJournal of Dynamic Systems, Measurement, and Control
identifier doi10.1115/1.4055772
journal fristpage121005
journal lastpage12100511
page11
treeJournal of Dynamic Systems, Measurement, and Control:;2022:;volume( 144 ):;issue: 012
contenttypeFulltext


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