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Feedforward-Feedback Controller Using General Regression Neural Network (GRNN) for Laboratory HVAC System: Part II-Temperature Control-Cooling 用于实验室暖通空调系统的通用回归神经网络前馈反馈控制器:第二部分温度控制冷却
这是关于实验室HVAC控制系统前馈控制器的三部分论文的第二部分。研究了冷却过程温度控制器的研制。实验室空间内产生的内部热量是激活该序列的主要干扰力。通过向空间提供额外的空气,提供额外的冷却以抵消增加的负荷。通过首先打开通用排气挡板以增加实验室总排气流量来增加供应流量。 首先满足实验室压力约束,然后控制温度。发现前馈-反馈组合控制器的性能优于传统的前馈-反馈组合控制器。单位:双引证:研讨会,ASHRAE交易,1998年,第104卷,第2部分,多伦多
This is the second part of a three-part paper on feedforward controllers for laboratory HVAC control systems. The development of a controller for temperature during the cooling sequence is studied. Internal heat generation in the laboratory space is the primary disturbing force that activates this sequence. Additional cooling is provided to offset increased load by supplying additional air into the space. The supply flow rate is increased by first opening the general exhaust damper to increase the total laboratory exhaust flow rate. The laboratory pressure constraint is met first, and this is followed by the control on temperature. The combined feedforward-feedback approach is found to outperform the conventional feedback controller.Units: Dual
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