针对双容水箱普遍存在容积延迟问题和传统P I D控制难于达到控制要求的特点,提出了基于串级技术的双容液位模糊PID控制系统。系统根据双容水箱液位控制的特点,采用模糊串级PID控制技术、智能仪表AI808、M C C S组态软件实现了双容水箱...针对双容水箱普遍存在容积延迟问题和传统P I D控制难于达到控制要求的特点,提出了基于串级技术的双容液位模糊PID控制系统。系统根据双容水箱液位控制的特点,采用模糊串级PID控制技术、智能仪表AI808、M C C S组态软件实现了双容水箱液位的高精度控制。实验表明:该系统具有静态精度高、自适应能力强、可靠性好、抗扰动性强等特点,大大提高了水箱液位的控制质量。展开更多
Since there are many factors affecting the quality of wine, total 17 factors were screened out using principle component analysis. The difference test was conducted on the evaluation data of the two groups of testers....Since there are many factors affecting the quality of wine, total 17 factors were screened out using principle component analysis. The difference test was conducted on the evaluation data of the two groups of testers. The results showed that the evaluation data of the second group were more reliable compared with those of the first group. At the same time, the KM algorithm was optimized using the QPSO algorithm. The wine classification model was established. Compared with the other two algorithms, the QPSO-KM algorithm was more capable of searching the globally optimum solution, and it could be used to classify the wine samples. In addition,the QPSO-KM algorithm could also be used to solve the issues about clustering.展开更多
文摘针对双容水箱普遍存在容积延迟问题和传统P I D控制难于达到控制要求的特点,提出了基于串级技术的双容液位模糊PID控制系统。系统根据双容水箱液位控制的特点,采用模糊串级PID控制技术、智能仪表AI808、M C C S组态软件实现了双容水箱液位的高精度控制。实验表明:该系统具有静态精度高、自适应能力强、可靠性好、抗扰动性强等特点,大大提高了水箱液位的控制质量。
文摘Since there are many factors affecting the quality of wine, total 17 factors were screened out using principle component analysis. The difference test was conducted on the evaluation data of the two groups of testers. The results showed that the evaluation data of the second group were more reliable compared with those of the first group. At the same time, the KM algorithm was optimized using the QPSO algorithm. The wine classification model was established. Compared with the other two algorithms, the QPSO-KM algorithm was more capable of searching the globally optimum solution, and it could be used to classify the wine samples. In addition,the QPSO-KM algorithm could also be used to solve the issues about clustering.
