首页 馆藏资源 舆情信息 标准服务 科研活动 关于我们
现行 TO-98-05-3
到馆提醒
收藏跟踪
购买正版
Feedforward-Feedback Controller Using General Regression Neural Network (GRNN) for Laboratory HVAC System: Part III-Temperature Control-Heating 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:第三部分温度控制加热
将前馈-反馈组合控制器的模拟性能与加热过程中仅反馈(比例积分)温度控制方法的性能进行了比较。由于通风柜开口导致房间通风负荷较高,因此会出现加热顺序。局部加热由再热盘管提供。仿真结果表明,该组合控制器在不同工况下均能实现稳定、准确的控制。反馈控制器仅在其被调谐的操作条件下比组合控制器性能更好。 单位:双引证:研讨会,ASHRAE交易,1998年,第104卷,第2部分,多伦多
The simulated performance of the combined feedforward-feedback controller is compared to the performance of the feedback only (proportional-integral) approach for temperature control during heating. The heating sequence occurs due to a high room ventilation load caused by the fume hood openings. Local heating is provided by reheat coils. The simulated results show that the combined controller provides stable and accurate control under different operating conditions. The feedback controller only performs better than the combined controller at the operating condition for which it was tuned.Units: Dual
分类信息
发布单位或类别: 未知国家-其他未分类
关联关系
研制信息
相似标准/计划/法规