TY - GEN
T1 - Applications of the fuzzy immune PID control and the genetic algorithm in the automated pharmacy system
AU - Zhao, Xuefeng
AU - Yun, Chao
AU - Wang, Yuanyuan
AU - Wang, Wei
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
KW - Automated pharmacy system
KW - Dynamic model
KW - Fuzzy immune PID control
KW - Genetic algorithm
KW - Storage allocation
UR - https://www.scopus.com/pages/publications/56749136439
U2 - 10.1007/978-3-540-88518-4_124
DO - 10.1007/978-3-540-88518-4_124
M3 - 会议稿件
AN - SCOPUS:56749136439
SN - 3540885161
SN - 9783540885160
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 1163
EP - 1172
BT - Intelligent Robotics and Applications - First International Conference, ICIRA 2008, Proceedings
T2 - 1st International Conference on Intelligent Robotics and Applications, ICIRA 2008
Y2 - 15 October 2008 through 17 October 2008
ER -