Volterra model predictive control of a lyophilization plant

Yancho V. Todorov, Tsvetan D. Tsvetkov
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引用次数: 10

Abstract

Lyophilization plants are widely used by pharmaceutical industries to produce stable dried medications and important preparations. Since, a Lyophilization cycle involves a high energy demands it is needed to be used an improved control strategy in order to minimize the operating costs. This paper describes a method for designing a nonlinear model predictive controller to be used in a Lyophilization plant. The controller is based on a truncated fuzzy-neural Volterra predictive model and a simplified gradient optimization algorithm. The proposed approach is studied to control the product temperature in a Lyophilization plant. The efficiency of the proposed approach is tested and proved by simulation experiments.
冻干装置的Volterra模型预测控制
冻干植物被制药工业广泛用于生产稳定的干燥药物和重要制剂。由于冻干循环涉及高能量需求,因此需要使用改进的控制策略以最大限度地降低操作成本。介绍了一种用于冻干装置的非线性模型预测控制器的设计方法。该控制器基于截断模糊神经Volterra预测模型和简化的梯度优化算法。研究了冻干装置中产品温度的控制方法。仿真实验验证了该方法的有效性。
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