Pid rudder is the first generation . its algorithm is simple 自動舵是船舶系統中的關鍵設備。
Based on the simplified motion model , the fuzzy autopilot control system is designed 在此基礎上,設計了模糊控制自動舵系統。
The development of the steer was limited until the artificial intelligence ( ai ) was introduced into control 直到智能控制理論應用的出現,為自動舵的研究才開辟了更廣闊的空間。
Fuzzy controller shows promise for these non - linear systems that are not known well or the model is difficult to be identified 但是由于船舶航行的復雜性和pid控制器本身的局限性,常規的pid自動舵仍然存在著許多不足之處。
Through analyzing the development and present status of submarine autopilot , the dissertation determines the research emphasis and framework firstly 本課題通過對自動舵發展歷史和現狀的分析和透視,確定了研究的重點和總體框架。
Though conformation of traditional pid algorithm is very simple , it is extremely depend upon the accurate model of the controller 傳統的pid自動舵需要精確的船舶控制模型來得到好的控制效果,但在實際當中,精確的船舶模型是很難得到的。
Finally the control result is improved by the output of fnnc . another neural network called pnn is introduced to finish constructing and renovating the knowledge database 本文主要對模糊神經網絡自組織控制器在自動舵中的應用進行了研究,綜合了模糊控制和神經網絡的應用。
The automatic steer is an important equipment in shipping maneuvering . as the increasing need of safety , the requirement for the automatic steer gets greater and greater 用于船舶操縱的自動舵是船舶系統中不可缺少的重要設備,隨著對航行安全及營運需求的增長,對自動舵的要求也日益提高。
From 1920 ' s when american sperry and german ansuchz got essential process in the research of roland and made the mechanical steer , it has been worked over and over 上世紀20年代,美國的sperry和德國的ansuchz在陀螺羅徑研制工作取得實質進展并分別獨立地研制出機械式的自動舵后,人們對自動舵的研究就從未間斷過。
According the result author concludes that the autopilot gain both of the two control systems " advantage , it owns pid controller " s high precision in stable state and also has rapid response property 最終的仿真結果表明,智能控制在船舶航向控制方面其優越性大大超過了傳統控制方法的自動舵,其應用和發展前景是廣闊的。