CAJ | 학술논문

详细介绍了基于变论域模糊控制的温室环境控制系统，以温度控制系统为例进行设计。该系统以变论域模糊控制为核心算法，用BP神经网络改变模糊控制的论域。根据误差和误差变化率选择合适的论域，不仅克服了误差过大或过小时对温室控制的影响，还解决了温室多变量难以建立数学模型和隶属度函数选择较难的问题。
상세개소료기우변론역모호공제적온실배경공제계통，이온도공제계통위례진행설계。해계통이변론역모호공제위핵심산법，용BP신경망락개변모호공제적론역。근거오차화오차변화솔선택합괄적론역，불부극복료오차과대혹과소시대온실공제적영향，환해결료온실다변량난이건립수학모형화대속도함수선택교난적문제。
This paper proposes a kind of greenhouse environments control system based on the variable universe fuzzy control, and the design of temperature control system is introduced as an example. The core algorithm of the system is variable universe fuzzy control algorithm, the fuzzy control of universe was changed by BP neural network. The system, based on error and change ratio of error select the appropriate universe, not only overcome effect for greenhouse control which is the error of too large or too small, but also solves the problems of difficult to establish accurate mathematical models and the determination of the fuzzy membership functions.