[1]任佳,陈增强,孙明玮,等.PI型自抗扰广义预测控制的性能分析[J].智能系统学报,2021,16(1):66-74.[doi:10.11992/tis.202006041]
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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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]
PI型自抗扰广义预测控制的性能分析
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
16
期数:
2021年第1期
页码:
66-74
栏目:
学术论文—智能系统
出版日期:
2021-01-05
- Title:
- Performance analysis of PI-type active disturbance rejection generalized predictive control
- Keywords:
- 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
- 分类号:
- TP273
- 摘要:
- 为克服自抗扰控制(active disturbance rejection control, ADRC)算法在大时滞系统中的局限性，减小PI型广义预测控制(PI-type generalized predictive control, PI-GPC)算法的在线计算量，我们在先前的研究中提出了PI型自抗扰广义预测控制(PI-type active disturbance rejection generalized predictive control, PI-ADRGPC)算法。本文通过频域分析方法，对PI-ADRGPC算法进行了稳定性分析，利用PI-ADRGPC算法离散形式的开环传递函数绘制其伯德图，分析了参数变化对PI-ADRGPC性能的影响。通过绘制奈奎斯特曲线，分析了PI-ADRGPC算法的稳定性。通过控制一阶惯性环节以及船舶航向控制系统验证了所提出算法的性能。研究结果表明：与ADRC-GPC算法相比，PI-ADRGPC算法的响应速度更快、控制效果更好。
- Abstract:
- 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.
- 参考文献/References:
-
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备注/Memo
收稿日期:2020-06-24。
基金项目:国家自然科学基金项目(61973175，61973172)
作者简介:任佳，硕士研究生，主要研究方向为智能预测控制、自抗扰控制;陈增强，教授，博士生导师，主要研究方向为智能控制、预测控制、自抗扰控制。中国系统仿真学会理事，中国人工智能学会智能空天专业委员会副主任，天津市自动化学会理事。主持完成国家863项目和国家自然科学基金项目6项，获省部级科技进步奖 4次。发表学术论文300余篇;孙明玮，教授，博士生导师，主要研究方向为飞行器制导与控制、自抗扰控制。中国自动化学会数据驱动控制、学习与优化专业委员会委员。主持国防科技攻关基金项目和国家自然科学基金项目4项，获国防科技进步奖3次。发表学术论文50余篇
通讯作者:陈增强. E-mail：chenzq@nankai.edu.cn
更新日期/Last Update:
2021-02-25