Applications of the Fuzzy Immune PID Control and the Genetic Algorithm in the Automated Pharmacy System.
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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ABSTRACT: Firstly, this paper analyzes the main factors which can affect the outlet temperature of the decomposition furnace in the process of cement production. PID-type controller may encounter many problems, such as large overshoot, long adjusting time and even poor stability in the control of decomposition furnace with time delay. Hence, according to the characteristics and difficulties of the decomposition furnace control, a fuzzy immune self-adaptive PID control method is brought forward and designed in detail. At last, the field application experiments proved that the fuzzy-immune PID control is an effective arithmetic with the advantages of quick response and good robust in control of outlet temperature. Using the method can achieve ideal control effect.2013 IEEE Third International Conference on Information Science and Technology (ICIST); 12/2013