黎壮声, 杨鹏程, 陈旦, 张永双, 郭守春, 陈天毅. 0.6m连续式跨声速风洞总压控制策略设计[J]. 实验流体力学, 2016, 30(4): 87-92. DOI: 10.11729/syltlx20150129
引用本文: 黎壮声, 杨鹏程, 陈旦, 张永双, 郭守春, 陈天毅. 0.6m连续式跨声速风洞总压控制策略设计[J]. 实验流体力学, 2016, 30(4): 87-92. DOI: 10.11729/syltlx20150129
Li Zhuangsheng, Yang Pengcheng, Chen Dan, Zhang Yongshuang, Guo Shouchun, Chen Tianyi. The design of total pressure control strategy for 0.6m continuous transonic wind tunnel[J]. Journal of Experiments in Fluid Mechanics, 2016, 30(4): 87-92. DOI: 10.11729/syltlx20150129
Citation: Li Zhuangsheng, Yang Pengcheng, Chen Dan, Zhang Yongshuang, Guo Shouchun, Chen Tianyi. The design of total pressure control strategy for 0.6m continuous transonic wind tunnel[J]. Journal of Experiments in Fluid Mechanics, 2016, 30(4): 87-92. DOI: 10.11729/syltlx20150129

0.6m连续式跨声速风洞总压控制策略设计

The design of total pressure control strategy for 0.6m continuous transonic wind tunnel

  • 摘要: 总压作为连续式风洞控制系统关键指标之一,其控制精度及快速性对提高风洞试验效率、降低能耗具有重要意义。0.6m风洞为国内首座具备负压试验能力的连续式跨声速风洞,其试验工况多,压力范围广,针对该风洞压力特性,设计了总压控制策略,根据不同的压力工况确定不同的阀门组合控制方式;同时针对模糊PID对连续式跨声速风洞宽压力范围、多调节工况下压力控制适应性较差的问题,提出分段变参数加模糊PID相结合的控制算法,即先根据目标总压确定不同分段区间下基本合理的基准P、I参数,再结合模糊控制算法对基准参数进行修正。风洞调试结果表明,总压控制精度优于0.1%,控制策略能够有效满足不同工况的控制要求。

     

    Abstract: The total pressure is one of the key indicators of the continuous tunnel control system, the control precision and speed of which are very important to improve the efficiency of wind tunnel test and reduce energy consumption. The 0.6m wind tunnel is the first domestic continuous transonic wind tunnel with the negative pressure test ability, which can provide lots of test conditions covering wide total pressures. Based on its pressure condition, the total pressure control strategy is designed, and the different control ways of valve combination are ascertained depending on the different pressure conditions. Meanwhile, the control algorithm of segmented parameters combining with the fuzzy PID is proposed, to improve the poor adaptability of fuzzy PID to the wide pressure range and multi-adjustment condition in continuous transonic wind tunnels. In our algorithm, the reasonable benchmark parameters P and I under the different segmentation interval due to the target total pressure should been determined firstly. Then it would been modified by fuzzy control algorithm. The result shows that the total pressure control accuracy is better than 0.1%, and the control strategy can adapt to the control requirement of different working conditions.

     

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