Application and exploration of neural network control algorithm in mcgs 神經(jīng)網(wǎng)絡控制算法在工控軟件中的應用研究
The structure and characteristic of electronic throttle is introduced and a fuzzy neural network control algorithm based on gauss function is presented 本文介紹了電子節(jié)氣門的結(jié)構和特點,提出了基于模糊高斯函數(shù)神經(jīng)網(wǎng)絡的電子節(jié)氣門控制方法。
The realization of communication between the microcomputer and plc ( programmable logical controller ) as well as the neural network control algorithm in this system is emphasized 詳細地說明了異步電動機定位系統(tǒng)中上位機與plc (可編程序控制器)之間通信問題的解決以及神經(jīng)網(wǎng)絡控制算法的實現(xiàn)。
This paper studies on the methods of traceing for both still and moving targets , and also focus on the study of pid algorithm , the fuzzy logic control algorithm , and the neural network control algorithm 本文研究了對靜止目標的跟蹤的方法,控制機器人跟蹤目標的pid算法、學習算法、模糊控制算法和神經(jīng)網(wǎng)絡控制算法。
Among all of these control algorithms the neural network control algorithm is emphasized . finally , the parallel approach method with which the missile can trace the target is used in he robot ' s tracing for a moving target 其中著重研究了神經(jīng)網(wǎng)絡控制算法。最后,研究了機器人對運動目標的跟蹤,把導彈跟蹤目標的平行接近法引入到了機器人對運動目標的跟蹤之中。
This dissertation is dedicated to solve the practical control problems in power station under the existence of thermal control system characterized by large delay and time varying . aiming at the present disadvantages of the neural network control algorithm , some improved means are researched and put forward . they are implicit generalized predictive control based on elman network , self - adaptive predictive function control based on improved elman network , nonlinear self - adaptive predictive function 這些改進方案既具有自適應控制和預測控制等現(xiàn)代控制理論的優(yōu)點,又無需被控對象的數(shù)學模型,而且控制效果良好、適應性廣,滿足了非線性對象及多變量耦合系統(tǒng)等特性不同的生產(chǎn)環(huán)節(jié)對控制系統(tǒng)的要求。
It is very important that the neural network control algorithm has the intelligence . training of a neural network is so important that it affects the quality of the neural network and the control performance of the controlled object . there is great advantage if the neural network is used in the tracing of the robot towards the given target 神經(jīng)網(wǎng)絡控制具有智能性。對于神經(jīng)網(wǎng)的訓練是很重要的,關系到神經(jīng)網(wǎng)絡以及對被控對象控制的好壞。神經(jīng)網(wǎng)絡控制用于機器人對目標的跟蹤上面,具有很大的優(yōu)點。