基于软计算的高效水培营养液分级控制系统设计

2014 International Conference on Computation of Power, Energy, Information and Communication (ICCPEIC) Pub Date : 2014-04-16 DOI:10.1109/ICCPEIC.2014.6915356

Lenord Melvix, Sridevi C

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引用次数: 31

摘要

提出了一种利用遗传算法优化系统参数的高效水培营养液控制系统。提出了一种新的mamdani模糊推理系统(FIS)，该系统对给定控制参数集的解的质量进行分级，并将其作为适应度函数。FIS评估函数是根据印度Murugappa Chettiar研究中心的研究人员的专家意见设计的。为了评估该算法的性能，利用Labview设计了一个带溶液监测单元的虚拟水培养分控制系统。与传统的基于误差函数的营养液控制系统相比，所设计的算法具有更好的收敛效率和资源利用率。

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Design of efficient hydroponic nutrient solution control system using soft computing based solution grading

This paper presents an efficient hydroponic nutrient solution control system whose system parameters are optimized using genetic algorithm. A novel mamdani fuzzy inference system (FIS) that grades the quality of solution for a given set of control parameters has been used as its fitness function. The FIS evaluation function has been designed using expert opinion from researchers at Murugappa Chettiar Research Centre, India. To evaluate the performance of the proposed algorithm, a virtual hydroponic nutrient control system with a solution monitoring unit was designed using Labview. The designed algorithm demonstrated better convergence efficiency and resource utilization compared to conventional error function based nutrient solution control systems.

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来源期刊

2014 International Conference on Computation of Power, Energy, Information and Communication (ICCPEIC)

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