| 一种大时滞系统的无模型自适应控制改进算法 |
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| 引用本文：陈琛，何小阳.一种大时滞系统的无模型自适应控制改进算法[J].计算技术与自动化,2012,(3):10-13 |
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| 中文摘要:利用无模型自适应控制(Model-free adaptive control，MFAC)方法仅需要被控对象输入和输出数据，而不需要其他任何信息的优点。针对工业生产过程中普遍存在的大时间滞后的特点，提出针对未知模型的大时滞对象的无模型自适应控制改进算法(Improved MFAC on Large Time-delay System，LTDS-IMFAC)。在改进算法中，在基本无模型自适应控制算法的基础上引入了带有滞后时间的输入变化率的约束项，以此来减小大时间滞后对整个控制过程的影响。通过MATLAB仿真试验证明了改进算法对于大时滞系统的控制具有较好的有效性。 |
| 中文关键词:大时滞 无模型自适应控制 改进算法 MATLAB仿真 |
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| An Improved Algorithm of Model-free Adaptive Control for Large Time-delay System |
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| Abstract:The model-free adaptive control(MFAC)is only using I/O data of the controlled system,and doesn't include any system model information.According to the common characteristics of the controlled object with large time-delay in the industrial production process,an improved algorithm of model-free adaptive control for large time-delay system(LTDS-IMFAC)is presented.A constraint entry of the rate of change of the input with large time-delay to reducing the impact of the controlled plant with large time-delay is introduced.The MATLAB simulation results show that the improved algorithm has better validity． |
| keywords:large time-delay model-free adaptive control improved algorithm MATLAB simulation |
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