摘要
提出了一种借助模糊化思想将微分块Ｄ改造成模糊化微分块ＤＦ的新型ＰＩＤＦ算法。分析 与仿真表明，ＰＩＤＦ对噪声是不敏感的，且对超调具有超前预测及抑制功能，因而与常规ＰＩＤ相比 较，控制性能更好，适用范围也更广。
Noise interference can reduce the function of differential part D in the algorithm PID, so that the controlling property will be deduced. And at the same time, the application range of PID is reduced due to the PID controller losing differential part D. In order to resolve these problems, a new idea is brought forward. The traditional PID algorithm is reconstructed into a new PIDF algorithm by adding Fuzzy idea to differential part D. Analyzing and emulation suggested that the new algorithm of PIDF is insensitive to noise and can forecast and restrain the exceeding adjustment. In a word, comparing to the traditional PID algorithm, the new PIDF algorithm have larger application range and better property.
出处
《厦门大学学报（自然科学版）》
CAS
CSCD
北大核心
2001年第z1期68-72,共5页
Journal of Xiamen University：Natural Science
关键词
PID
噪声干扰
微分
模糊化
PID
noise Interference
differential
fuzzy Logic
