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首页> 外文会议>International Conference on Intelligent Robotics and Applications;ICIRA 2008 >Applications of the Fuzzy Immune PID Control and the Genetic Algorithm in the Automated Pharmacy System
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Applications of the Fuzzy Immune PID Control and the Genetic Algorithm in the Automated Pharmacy System

机译：模糊免疫PID控制和遗传算法在自动化药房系统中的应用

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摘要

In order to solve the existing problems such as inefficiency prescription-processing and high errors in hospitals, the automated pharmacy system is developed, which actualizes the automation of medicines-filling, medicines-storage and medicines-dispensing. Medicines are dispensed by the lifter system, which possess the characteristics of nonlinear, time-varying and complex. A fuzzy adaptive PID control method is presented based on the immune feedback regulating law and the adaptive ability of fuzzy logic ratiocination. The academic analysis and simulation results indicate the validity of the controller. The storage and retrieval efficiency is crucial factor in estimating the performance of the automated pharmacy. The scheduling policy, a multi-objective optimization, is proposed and solved by the genetic algorithm. Experiment results and computer simulations have proved the feasibility and effectiveness of the strategy in dynamic allocating the storage-positions and ensure the smoothness of filling and dispensing. So the good performance and high efficiency of the automated pharmacy system are achieved.
机译：为了解决医院处方处理效率低下，误诊率高等问题，开发了自动化药房系统，实现了药房装药，药库，药房的自动化。升降系统分配的药品具有非线性，时变和复杂的特点。提出了一种基于免疫反馈调节律和模糊逻辑自适应能力的模糊自适应PID控制方法。理论分析和仿真结果表明了控制器的有效性。存储和检索效率是评估自动化药房性能的关键因素。通过遗传算法提出并解决了多目标优化调度策略。实验结果和计算机仿真结果证明了该策略在动态分配存储位置，确保填充和填充平滑方面的可行性和有效性。 分配。因此，实现了自动化药房系统的良好性能和高效率。

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