Control of Pneumatic Conveying Using Pressure Fluctuations Signals and Various Control Strategies

本文将研究一种先进的控制系统，以管道中固气两相流动自然引起的压力波动为输入，优化气力输送设备的运行。所要优化的流型决定了设备的能耗、运行寿命和运行稳定性。计算机控制、模糊逻辑分析和神经网络技术将得到发展和应用，以获得运行中稳定和经济的流型。建议的控制技术将转交给工业伙伴，后者将组成一个“工业咨询委员会”，审查研究进展及其向工业的转让。所提出的研究可能对提高化学制造、矿山、制药和食品工业的气动运输效率和可靠性具有重要意义。这是一个大学-行业合作研究项目，在NSF公告目标中定义（与行业学术联络的资助机会，NSF 93-149）。＊＊＊

9307909 Klinzing An advanced control system to optimize the operation of pneumatic conveying equipment will be investigated, using as input the pressure fluctuations which is naturally induced by two-phase solids-gas flow in pipes. The flow pattern to be optimized determines the energy consumption, the operation life of the equipment, and the stability in operation. Computer control, fuzzy logic analysis and neural network techniques will be developed and applied, in order to obtain a stable and economical flow pattern in operation. The recommended control techniques will be transmitted to industrial partners, who will form an "industrial advisory board" to review the research progress and its transfer to industry. The proposed research may have important results for increasing the efficiency and reliability of pneumatic transport in chemical manufacturing, mining sites, pharmaceutical and food industry. This is a university-industry collaborative research project, as defined in the NSF Announcement GOALI (Grant Opportunities for Academic Liaison with Industry, NSF 93-149). ***