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首页> 外文期刊>BioTechnology: An Indian Journal >Adaptive decoupling control based on online identification and simulation
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Adaptive decoupling control based on online identification and simulation

机译:基于在线辨识与仿真的自适应解耦控制

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摘要

Many complex control processes are interconnected MIMO process, and because the actual systems are influenced by many factors, the system model parameters are also changed. According to the system of the coupling and changeable, this paper puts forward a kind of online identification based on adaptive decoupling control strategy which is used in the actual control system. This control strategy uses a recursive forgetting factor and parameter identification algorithm based on model matching of zero frequency. When system is operating in closed-loop control conditions, process parameters are identified online. Based on the model to design the controller and the decoupling device, and the relative control loop is decoupled. To the actual system, two coupled loop is simulated and experimented. The results show that this method is effective to improve the coupling effect of the system, improve the stability and robustness of the control system.
机译:许多复杂的控制过程是相互关联的MIMO过程,并且由于实际系统受许多因素的影响,因此系统模型参数也会发生变化。根据耦合可变的系统,提出了一种基于自适应解耦控制策略的在线辨识方法,并应用于实际控制系统中。该控制策略使用基于零频率模型匹配的递归遗忘因子和参数识别算法。当系统在闭环控制条件下运行时,可在线识别过程参数。根据该模型设计控制器和解耦装置,并将相对的控制回路解耦。针对实际系统,对两个耦合回路进行了仿真和实验。结果表明,该方法有效地提高了系统的耦合效果,提高了控制系统的稳定性和鲁棒性。

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