Application of pid control system in a four location refrigerator - testing laboratory 控制的4工位冰箱性能測試試驗室研制
Application of model predictive fuzzy self - tuning pid control system for temperature regulation 集成控制系統(tǒng)在溫度控制中的應用研究
Characteristics is analysed . at last the self - tuning pid control system based on dsp is designed 最后,設計了基于dsp的磁浮軸承系統(tǒng)的自校正pid控制系統(tǒng)。
Introduces the self - adaptive fuzzy control technique to the pid control system of a central air conditioning system in order to improve the control precision , stability and other performance 摘要將自適應模糊控制技術引入到集中空調(diào)pid控制系統(tǒng)中,以提高系統(tǒng)的控制精度、穩(wěn)定性和其他性能。
In this thesis , i built the mathematical model of 2r robot firstly , and designed the robot follow track pid control system . it could eliminate effectively the system static error 文中首先建立了兩關節(jié)機器人的數(shù)學模型,并構造了機器人軌跡跟蹤的pid控制系統(tǒng),它能有效的消除系統(tǒng)的穩(wěn)態(tài)誤差。
The results of experiment show that the maximum overshoot and static error of dynamic output of fuzzy control system are more less than that of pid control system , and it also has good robustness and stability 實驗結(jié)果表明,模糊控制器動態(tài)輸出的超調(diào)量和靜態(tài)誤差均比傳統(tǒng)pid小,并且控制系統(tǒng)具有良好的穩(wěn)定性。
According to the experiences and data of the skilled operators , a feed - forward controller which is based on the neural network technology was added on the conventional cascade pid control system 文中根據(jù)電廠熟練運行操作員的實際操作經(jīng)驗和數(shù)據(jù),在常規(guī)串級pid控制系統(tǒng)的基礎上,增加設計了基于神經(jīng)網(wǎng)絡技術的前饋控制器。
The ball mill pulverizing system is a mimo system with strong coupling , long time delay and time changing apparently . with traditional pid control system , the controlling result is not so satisfying 火力發(fā)電廠球磨機制粉系統(tǒng)是一個多變量的對象,各個變量之間不僅存在著嚴重的耦合,而且一些變量還存在著很大的純遲延及時變性。
The contradiction between respond speed of normal pid control system and overshoot is solved by joining a non - liner gain before a liner pid controller with constant gain 通過在一個線性具有固定增益的pid控制器前串聯(lián)一個非線性增益來對系統(tǒng)進行調(diào)節(jié),解決了常規(guī)pid控制系統(tǒng)的響應速度和超調(diào)量之間的矛盾,最終使系統(tǒng)達到較好的動態(tài)性能。
It did digital simulation to the controll system , and the results were compared with the pid control system . it got that the result was better which was the response time was shorter , the capability of tracking the input changing and the self adapting was stronger 得出, bp神經(jīng)網(wǎng)絡比pid對系統(tǒng)的控制效果更好,表現(xiàn)在階躍響應時間較短,跟隨輸入?yún)?shù)變化的能力強,有很強的自適應能力和魯棒性。