无模型自适应控制算法的改进及其在锅炉系统中的运用 |
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引用本文:申旭晨,何小阳,黎丹.无模型自适应控制算法的改进及其在锅炉系统中的运用[J].计算技术与自动化,2016,(1):56-59 |
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中文摘要:针对工业过程控制中存在的大时滞问题,提出一种无模型自适应控制改进算法(Improved Model-Free Adaptive Control,IMFAC),其优点是不需要对象的具体模型,仅仅根据系统的输入和输出即可对系统进行控制。在改进算法中通过引入带滞后时间输出的变化率的约束项,从而来减小大时滞对系统的影响。同时通过MATLAB与SMPT-1000仿真验证改进算法对大时滞系统在系统响应速度与系统稳定性方面有很好的控制效果。 |
中文关键词:大时滞 无模型自适应 改进算法 SMPT-1000仿真 |
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Improved Model-free Adaptive Control Algorithm and its Application in the Boiler System |
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Abstract:For large delay problems that exist in industrial process control, we put forward the Improved Model-free adaptive control algorithm. The advantage is that the model does not require specific object, the system can be controlled just by the output and input. By introducing a constraint term, i.e., the change rate of the output with a lag time, into the improved algorithm, the impact of large delay on the system can be reduced. MATLAB and SMPT-1000 simulation verifies that the improved algorithm can control the delay system effectively in the system response speed and stability. |
keywords:large delay Improved Model-free adaptive control algorithm MATLAB SMPT-1000 simulation |
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