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.
Conference Proceeding: Acceleration feedback control strategy for improving riding quality of elevator system[show abstract] [hide abstract]
ABSTRACT: In this paper, a new vertical vibration control strategy is proposed for improving riding quality of the elevator using car acceleration feedback control. The vertical vibration control of a lift car is difficult because it is mainly caused by the resonance of elastic ropes between the car and the sheave, and the resonance frequency of the system is largely dependent upon both passenger load and car position. To suppress the vibration of a lift car effectively, a simple and effective vibration-suppression algorithm is presented using an actual acceleration signal feedback. The proposed method employs a speed controller incorporating an acceleration feedback controller. Experimental verification has been carried out with a medium-speed elevator system at the elevator test tower. Computer simulation and experimental results show the feasibility of the proposed vertical vibration controllerIndustry Applications Conference, 1999. Thirty-Fourth IAS Annual Meeting. Conference Record of the 1999 IEEE; 02/1999
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ABSTRACT: As a class of typical production scheduling problems, job shop scheduling is one of the strongly NP-complete combinatorial optimisation problems, for which an enhanced genetic algorithm is proposed in this paper. An effective crossover operation for operation-based representation is used to guarantee the feasibility of the solutions, which are decoded into active schedules during the search process. The classical mutation operator is replaced by the metropolis sample process of simulated annealing with a probabilistic jumping property, to enhance the neighbourhood search and to avoid premature convergence with controllable deteriorating probability, as well as avoiding the difficulty of choosing the mutation rate. Multiple state generators are applied in a hybrid way to enhance the exploring potential and to enrich the diversity of neighbour-hoods. Simulation results demonstrate the effectiveness of the proposed algorithm, whose optimisation performance is markedly superior to that of a simple genetic algorithm and simulated annealing and is comparable to the best result reported in the literature.International Journal of Advanced Manufacturing Technology 06/2002; 20(1):72-76. · 1.21 Impact Factor