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Application of fuzzy predictive-PID control in temperature control system of Freeze-dryer for medicine material

机译:模糊预测-PID控制在药品冻干机温度控制系统中的应用

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A new fuzzy predictive-PID control method is used in the Freeze-dryer for medicinal temperature control system to handle the problems of large capacity, large delay and the non-linearity of plant controls. When the temperature change is large, fuzzy predictive control is used to fix the control quantity. Otherwise, fuzzy PID real-time control is used. Using the control algorithm can enhance the algorithm's tracking performance and system anti-interference capacity. Matlab software is used to do the simulation. The results show that this method is well adaptive to the alteration, and it improves the static precise and dynamic performance of the system. It has higher dynamic than the conventional PID control and fuzzy PID control. In another, the control performance of freeze dryer temperature control system is improved.
机译:一种用于食品温度控制系统的冷冻干燥机中的模糊预测PID控制新方法,用于处理大容量,大延迟和工厂控制的非线性问题。当温度变化大时,使用模糊预测控制来固定控制量。否则,将使用模糊PID实时控制。使用控制算法可以增强算法的跟踪性能和系统抗干扰能力。使用Matlab软件进行仿真。结果表明,该方法很好地适应了变更,提高了系统的静态精度和动态性能。与传统的PID控制和模糊PID控制相比,它具有更高的动态性。另一方面,提高了冷冻干燥机温度控制系统的控制性能。

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