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基于仿人智能融合控制算法的鲁棒性仿真研究
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Project supported by Chongqing Education Commission (2012-09-3-314)


Robustness simulation of control algorithm for human-simulatedi ntelligence based fusion
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    摘要:

    为了克服控制算法因鲁棒性差难以实现对不确定性复杂关联系统控制的缺陷,探讨了仿人智能融合控制算法的鲁棒性。讨论了传统控制面临的挑战,粗略地分析了不确定性复杂关联系统的控制论特性,研究了系统的仿人智能融合控制策略,针对具体对象构造了相应的控制算法。以二阶时滞对象控制为例,分别采用PID与仿人智能融合控制算法进行了仿真对比研究,实验的系统响应曲线验证了该算法具有良好动静态控制品质与鲁棒性能。研究结果表明:提出的融合控制算法是可行与合理的,具有很强的鲁棒性。

    Abstract:

    In order to overcome that it is difficult to realize the control resulted in poor robustness of control algorithm for complex correlation system with uncertainty, the paper explored the robustness of human-simulated intelligence based fusion control algorithm. In the paper, it discussed the facing challenge of conventional control, analyzed the cybernetics characteristic of complex correlation system with uncertainty, researched on control strategy of human-simulated intelligence based fusion control strategy, and aimed at the specific object it constructed the corresponding control algorithm. It took a two order object with time lag as an example, carried through the simulation contrast research respectively by conventional PID and human simulated based fusion control algorithm, and the experiment response curve of system demonstrated that the proposed control algorithm validated its better dynamic and static control quality and strong robustness. The research results show that it is feasible and reasonable for fusion control algorithm, and owns strong robustness.

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朱顺兰,黄蕙,张四平.基于仿人智能融合控制算法的鲁棒性仿真研究[J].机床与液压,2014,42(6):109-114.
. Robustness simulation of control algorithm for human-simulatedi ntelligence based fusion[J]. Machine Tool & Hydraulics,2014,42(6):109-114

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  • 在线发布日期: 2015-04-21
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