Abstract
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.
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© 2008 Springer-Verlag Berlin Heidelberg
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Zhao, X., Yun, C., Wang, Y., Wang, W. (2008). Applications of the Fuzzy Immune PID Control and the Genetic Algorithm in the Automated Pharmacy System. In: **ong, C., Liu, H., Huang, Y., **ong, Y. (eds) Intelligent Robotics and Applications. ICIRA 2008. Lecture Notes in Computer Science(), vol 5315. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88518-4_124
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DOI: https://doi.org/10.1007/978-3-540-88518-4_124
Publisher Name: Springer, Berlin, Heidelberg
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