Modeling and Simulation of the Automated Pharmacy System

The automated pharmacy system actualizes the automation of medicines-filling, medicines-storage and medicines-dispensing, it also solves the existing problems caused by dispersedly stored and manually operated such as inefficiency prescription-processing and high error ratios in hospitals. Medicines are dispensed by the lifter system, which is a nonlinear, time-varying and complex system. A fuzzy self-adaptive PID control method, which synthesizes the merits of fuzzy control and PID control, is presented to study the dynamic characteristics of the lifter system. The scheduling policy is crucial to elevating retrieve and storage efficiency. A strategy based on the genetic algorithm is proposed and its performance is analyzed. Experiment results and computer simulations have proved the feasibility and effectiveness of the controller and the strategy. So the good performance and high efficiency of the automated pharmacy system are achieved.