[1]REN Jia,CHEN Zengqiang,SUN Mingwei,et al.Performance analysis of PI-type active disturbance rejection generalized predictive control[J].CAAI Transactions on Intelligent Systems,2021,16(1):66-74.[doi:10.11992/tis.202006041]
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CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
16
Number of periods:
2021 1
Page number:
66-74
Column:
学术论文—智能系统
Public date:
2021-01-05
- Title:
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Performance analysis of PI-type active disturbance rejection generalized predictive control
- Author(s):
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REN Jia1; CHEN Zengqiang1; 2; SUN Mingwei1; SUN Qinglin1
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1. College of Artificial Intelligence, Nankai University, Tianjin 300350, China;
2. Key Lab of Intelligent Robotics of Tianjin, Tianjin 300350, China
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- Keywords:
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PI-type active disturbance rejection generalized predictive control; frequency domain characteristics; active disturbance rejection control; PI-type generalized predictive control; Bode diagram; Nyquist curve; stability; parameter adjustment
- CLC:
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TP273
- DOI:
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10.11992/tis.202006041
- Abstract:
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To overcome the limitations of the active disturbance rejection control (ADRC) algorithm in large time-delay systems and reduce the amount of online calculation of the PI-type generalized predictive control (PI-GPC) algorithm, we proposed the PI-type active disturbance rejection generalized predictive control (PI-ADRGPC) algorithm in our previous research. In this paper, the frequency domain analysis method is used to analyze the stability of the PI-ADRGPC control algorithm. By using the open-loop transfer function of the discrete form of the PI-GPC algorithm to draw the Bode diagram, the influence of parameter changes on the performance of PI-ADRGPC is analyzed. By drawing the Nyquist curve, the stability of the PI-ADRGPC algorithm is analyzed. The performance of the proposed algorithm is verified by controlling the first-order inertial system and the ship heading control system. The research results show that compared with the ADRC-GPC algorithm, the PI-ADRGPC algorithm has a faster response speed and better control effect.