特征结构下基于极点配置的多变量预测控制
The Multivariable Predictive Control Based on Pole Placement Under Eigenvector Frame
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摘要: 本文提出了特征结构下基于极点配置的多变量预测控制方法,该方法通过选择一组可调 参数使各特征子系统的闭环极点达到预定的数值,进而计算出各特征子系统中的控制器参数. 仿真试验证实了本文算法的有效性.Abstract: This paper proposes a framework for the multivariable Nyquist generalization of predictive control based on pole placement. The characteristic subsystem thus designed would have the desired closed-loop poles. This procedure can be accomplished by seleting a set of adjustable parameters. Furthermore, the control parameter polynomials of each subsystem can be easily determined. The simulation clearly demonstrates that the proposed algorithm is very effective.
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Key words:
- Characteristic subsystem /
- multivariable system /
- colsed-loop poles /
- predictive control
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