Novel generalized predictive control for photoelectric tracking system based on improved objective function and predictive value correction

Junhai Qu; Yuanqing Xia; Shenghui Xue; Haiwen Wang; Yuedong Ma

doi:10.1109/ACCESS.2020.2966802

Novel generalized predictive control for photoelectric tracking system based on improved objective function and predictive value correction

Junhai Qu^*, Yuanqing Xia, Shenghui Xue, Haiwen Wang, Yuedong Ma

^*Corresponding author for this work

School of Automation

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

Abstract

Novel generalized predictive control (GPC) is proposed to deal with the problems of cumulative deviation of the predicted value, long control process and large noise that often encountered in conventional GPC. First, the objective function of GPC is improved based on integral time square error (ITSE) criterion, and the output expression under soft constraint is deduced. Then, the predicted value is corrected by adopting the integral weighting method, the convergence of which is demonstrated. Finally, both the simulations and hardware experiments are conducted in a practical photoelectric tracking system. It turns out that the superiority of the improved GPC in control precision, dynamic response and robustness is verified.

Original language	English
Article number	8960360
Pages (from-to)	18893-18901
Number of pages	9
Journal	IEEE Access
Volume	8
DOIs	https://doi.org/10.1109/ACCESS.2020.2966802
Publication status	Published - 2020

Keywords

Generalized predictive control (GPC)
integral time square error (ITSE) criterion
objective function
photoelectric tracking system
prediction correction

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10.1109/ACCESS.2020.2966802

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title = "Novel generalized predictive control for photoelectric tracking system based on improved objective function and predictive value correction",

abstract = "Novel generalized predictive control (GPC) is proposed to deal with the problems of cumulative deviation of the predicted value, long control process and large noise that often encountered in conventional GPC. First, the objective function of GPC is improved based on integral time square error (ITSE) criterion, and the output expression under soft constraint is deduced. Then, the predicted value is corrected by adopting the integral weighting method, the convergence of which is demonstrated. Finally, both the simulations and hardware experiments are conducted in a practical photoelectric tracking system. It turns out that the superiority of the improved GPC in control precision, dynamic response and robustness is verified.",

keywords = "Generalized predictive control (GPC), integral time square error (ITSE) criterion, objective function, photoelectric tracking system, prediction correction",

author = "Junhai Qu and Yuanqing Xia and Shenghui Xue and Haiwen Wang and Yuedong Ma",

note = "Publisher Copyright: {\textcopyright} 2013 IEEE.",

year = "2020",

doi = "10.1109/ACCESS.2020.2966802",

language = "English",

volume = "8",

pages = "18893--18901",

journal = "IEEE Access",

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T1 - Novel generalized predictive control for photoelectric tracking system based on improved objective function and predictive value correction

AU - Qu, Junhai

AU - Xia, Yuanqing

AU - Xue, Shenghui

AU - Wang, Haiwen

AU - Ma, Yuedong

PY - 2020

Y1 - 2020

N2 - Novel generalized predictive control (GPC) is proposed to deal with the problems of cumulative deviation of the predicted value, long control process and large noise that often encountered in conventional GPC. First, the objective function of GPC is improved based on integral time square error (ITSE) criterion, and the output expression under soft constraint is deduced. Then, the predicted value is corrected by adopting the integral weighting method, the convergence of which is demonstrated. Finally, both the simulations and hardware experiments are conducted in a practical photoelectric tracking system. It turns out that the superiority of the improved GPC in control precision, dynamic response and robustness is verified.

AB - Novel generalized predictive control (GPC) is proposed to deal with the problems of cumulative deviation of the predicted value, long control process and large noise that often encountered in conventional GPC. First, the objective function of GPC is improved based on integral time square error (ITSE) criterion, and the output expression under soft constraint is deduced. Then, the predicted value is corrected by adopting the integral weighting method, the convergence of which is demonstrated. Finally, both the simulations and hardware experiments are conducted in a practical photoelectric tracking system. It turns out that the superiority of the improved GPC in control precision, dynamic response and robustness is verified.

KW - Generalized predictive control (GPC)

KW - integral time square error (ITSE) criterion

KW - objective function

KW - photoelectric tracking system

KW - prediction correction

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U2 - 10.1109/ACCESS.2020.2966802

DO - 10.1109/ACCESS.2020.2966802

M3 - Article

AN - SCOPUS:85079816281

SN - 2169-3536

VL - 8

SP - 18893

EP - 18901

JO - IEEE Access

JF - IEEE Access

M1 - 8960360

ER -

Novel generalized predictive control for photoelectric tracking system based on improved objective function and predictive value correction

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Keywords

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