Pressure Gradient Control Strategies Based on Disturbance Rejection for Typical Pharmaceutical Cleanrooms

Chunwang Li, Xiaojun Ma, Chun-E. Huang
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Abstract

Keeping pressure gradient is an excellent approach to prevent the reveal of airflow direction and cross infection in manufacturing circumstances of pharmaceutical cleanrooms, thus how to keep cleanroom’s pressure is critical. In the paper, we study a positive pressure pharmaceutical cleanroom system which is composed by a cleanroom and an airlock. We divide the system’s disturbances into step disturbance, ramp disturbance and sine wave disturbance. We design its pressure gradient control strategies, including CAV control, PID control and active-disturbance-rejection-control. We build the system’s model and make simulations based on Matlab/Simulink software platform. Results show that active-disturbance-rejection-control algorithm has good capabilities for shorter responding time and lower overshot of the pressure gradient. The results reveal that active-disturbance-rejection-control method has good control performances in responding time, accuracy and disturbance rejection.
基于扰动抑制的典型制药洁净室压力梯度控制策略
保持压力梯度是制药洁净室制造环境中防止气流方向泄露和交叉感染的良好途径,因此如何保持洁净室压力至关重要。本文研究了一种由洁净室和气闸组成的正压制药洁净室系统。我们将系统的干扰分为阶跃干扰、斜坡干扰和正弦波干扰。设计了压力梯度控制策略,包括CAV控制、PID控制和自抗扰控制。建立了系统模型,并在Matlab/Simulink软件平台上进行了仿真。结果表明,自抗扰控制算法具有较短的响应时间和较低的压力梯度超调量。结果表明,自抗扰控制方法在响应时间、精度和抗扰性方面具有良好的控制性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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