A novel multi-loop control configuration with two controllers is suggested for integrating processes having large dead-time. The inner-loop consists of a Smith predictor having proportional (P)/proportional-derivative (PD) controller for first/second-order integrating processes, respectively. Once the dead-time is compensated by the inner-loop Smith predictor, a fractional-order internal model controller (FOIMC) is designed in the outer-loop. The P/PD controllers are tuned using direct synthesis methodology. The proposed control architecture has three adjustable parameters (inner and outer closed-loop adjustment parameters, fractional-order of the FOIMC low-pass filter). Based on extensive simulations, the tuning ranges for the above-mentioned adjustable parameters are specified. Suitable justification is also provided for the suggested range of tuning parameters. Several benchmark examples of plant models are used to study the set-point following and disturbance elimination capabilities of the proposed control architecture. Quantitative performance measures are also computed for comparing the suggested and previously reported schemes. It is evident that the suggested FOIMC based Smith predictor yields enhanced control performance than some recently reported techniques.

中文翻译：

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基于分数阶内部模型控制器的新型 Smith 预测器设计，用于集成具有大死区时间的过程

提出了一种具有两个控制器的新型多回路控制配置，用于集成具有大死区时间的过程。内环由一个 Smith 预测器组成，该预测器具有分别用于一阶/二阶积分过程的比例 (P)/比例微分 (PD) 控制器。一旦死区时间被内环史密斯预测器补偿，一个分数阶内部模型控制器（FOIMC）被设计在外环。P/PD 控制器使用直接综合方法进行调整。所提出的控制架构具有三个可调参数（内部和外部闭环调整参数，FOIMC 低通滤波器的分数阶）。基于广泛的模拟，指定了上述可调参数的调整范围。还为建议的调整参数范围提供了适当的理由。工厂模型的几个基准示例用于研究所提出的控制架构的设定点跟踪和干扰消除能力。还计算了定量性能指标以比较建议的和先前报告的方案。很明显，建议的基于 FOIMC 的 Smith 预测器比最近报道的一些技术产生了增强的控制性能。