Title :
Fuzzy Aeration Control for In-Bin Stored Grain
Author :
Ling Sun ; Zesheng Zhu
Author_Institution :
Inst. of Agric. Econ. & Inf., JiangSu Acad. of Agric. Sci., Nanjing, China
Abstract :
In this paper, we discuss mainly a new method for building the fuzzy controller for controlling aeration devices in the grain-storage system. This new fuzzy-control method is used for designing a special fuzzy-control strategy for the aeration management or in-bin drying stored grain. First, the method defines the fuzzy-control base variables which consist of the fuzzy-control membership function. Then, it constructs the fuzzy-control rule base which supports the fuzzy rule inference. Next, it implements the fuzzy rule inference, so that the rules in the rule base can determine the trace of action that the aeration devices must follow. Finally, it translates the result of the fuzzy inference from a linguistic concept to a crisp output value to drive the aeration devices. Thus, the aeration devices are automatically operated at suitable times to implement the scientific management for in-bin drying stored grain.
Keywords :
agricultural products; agriculture; control system synthesis; drying; fuzzy control; inference mechanisms; storage; aeration management; fuzzy aeration control; fuzzy control membership function; fuzzy control rule base; fuzzy control strategy design; fuzzy rule inference; grain-storage system; in-bin drying stored grain; linguistic concept; Automation; Manufacturing; experimental design; fuzzy control; fuzzy rule inference; state monitoring;
Conference_Titel :
Digital Manufacturing and Automation (ICDMA), 2013 Fourth International Conference on
Conference_Location :
Qingdao
DOI :
10.1109/ICDMA.2013.148