1) On-line auto-search optimize
在线自寻优
2) online optimizing
在线寻优
1.
Based on actual technology conditions of pelleting system in Pellet Plant of Jinan Iron and Steel Co,an online optimizing strategy of optimum load for disc pelletizer was presented to solve online optimizing problem for optimum working load of each disc in multi-disc system.
针对济钢球团厂造球系统的实际工艺状况,提出了一种圆盘造球机在线最佳负荷寻优策略,以解决多造球盘系统中各单盘最佳工作点的在线寻优问题。
3) air/fuel ratio online self-optimizing
风煤比在线自寻优
4) on-line self-optimize
在线自择优
5) self-optimization
自寻优
1.
In consideration of the diversity of operating conditions,the multi controlling measures such as process tracing,concentration tracing,self-optimization,self-correction,effect control and friendly man-computer interface should be integrated into the system so as to reach better result in control and make the operation easie
工艺跟踪、浓度跟踪、自寻优、自校正、效应控制等技术,以及友好的人机接口不仅取得了良好的控制效果,也方便了操作。
2.
The technology involves the process control, concentration tracking, self-optimization, self-correction, AE control and a friendly man-computer interface.
内容包括工艺跟踪、浓度跟踪、自寻优、自校正、效应控制等技术以及友好的人机接口。
3.
It is determined to use Fuzzy PID with modifiable factors of self-optimization.
本文分析了带单个和多个自调整因子的模糊控制器的优缺点，决定采用修正因子自寻优的模糊ＰＩＤ控制器，它能在系统控制过程中对修正因子进行实时自寻优，以实现控制规则的自调整和自完善，达到提高控制系统品质的目的。
6) self optimizing
自寻优
1.
To introduce the composition and structure, basic control functions and technical features of automatic control system for No 1 reheating furnace in Special Steel Works, and emphatically describe the combustion self optimizing control of NEUROSHELL neural network.
介绍了莱钢特钢厂 1#加热炉自动控制系统的组成结构、基本控制功能及其技术特点 ,并着重阐述了NEUROSHELL神经网络平台上的燃烧自寻优控制。
2.
Taking fuzzy logic control technique and self optimizing control idea the self optimizing fuzzy controller for air/fual ratio was designed and developed.
采用模糊逻辑控制技术与自寻优控制思想 ,开发设计了空 /燃比自寻优模糊控制器 ,有效地克服了传统控制中的缺点 ,具有搜索速度快、收敛特性好等优
3.
A GAs based self optimizing PID controller is developed .
设计了一种基于遗传算法的在线自寻优ＰＩＤ控制器。
补充资料：自寻最优系统
| 自寻最优系统 self-optimizing systems 能自动搜寻输出的最优点并使输出保持在最优点附近的自动控制系统。这种系统中，至少存在一个在性能上代表最优工作状态的极值点，所以有时称为极值控制系统。当系统的最优点因各种原因发生漂移时，自寻最优系统仍可使系统的工作状态保持在新的最优点附近。自寻最优系统具有两个基本功能：①实时地不断检测本身的工作状态，不断地对系统是否处于当时可能达到的最优状态作出判断。②根据检测和判断所得的信息迅速的作出使系统趋向最优状态的调整。实现自寻最优点功能的方法主要有切换、摄动、自导和模型定向等。 |
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条