[1]JIANG Wen,LI Shao-yuan.Real time tuning of the set-point softening factor for model predictive controllers[J].CAAI Transactions on Intelligent Systems,2009,4(5):433-440.[doi:10.3969/j.issn.1673-4785.2009.05.008]
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CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
4
Number of periods:
2009 5
Page number:
433-440
Column:
学术论文—智能系统
Public date:
2009-10-25
- Title:
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Real time tuning of the set-point softening factor for model predictive controllers
- Author(s):
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JIANG Wen; LI Shao-yuan
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Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China
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- Keywords:
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model predictive control; condition number of system matrix; setpoint softening factor; online tuning
- CLC:
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TP273
- DOI:
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10.3969/j.issn.1673-4785.2009.05.008
- Abstract:
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For predictive control, the tuning of weighting factor λ and set-point softening factor α greatly influences the performance of control systems. Tuning of? λ ?in a model predictive controller had negative effects on the regulation of overshoot and ascending time of the system. Moreover,? λ has an effect on the condition number of the system matrix. Thus, λ has a great effect on the robustness of the system when model mismatch occurs. Set-point softening factor?λ also has a large effect on the dynamic response of the control system. Tuning of both α and λ produces similar effects on the dynamic response of the control system. Hence, in order to achieve better control performance, λ was designed to satisfy the need of the condition number and α was assigned as an online tuning parameter. Simulations verified the effectiveness of this approach.