Realizing furnace optimum control is based on combustion control, and that combustion control key is air fuel ratio control.
燃烧控制是实现窑炉优化控制的基础，而燃烧控制的核心是空燃比控制。
A model based air fuel ratio control system is put forward, which can improve the accuracy of air fuel ratio control under transient condition.
基于发动机物理模型的过渡工况空燃比控制方案，可以提高发动机过渡工况的空燃比控制精度。
The Control strategy based on the CMAC neural network and varying gain compensation has high accuracy and self-adaptive ability in engine air fuel ratio control.
基本CM AC神经网络和变增益补偿的控制策略在发动机空燃比控制中具有良好的精度和自适应性。
The combustion control techniques for reheating furnace are in order to search the optimal air fuel ratio, to improve the control precision of the temperature and the velocity.
加热炉燃烧控制技术，就是在各种燃烧工况条件下，找到合理的最佳空燃比，以提高炉温控制精度和加热速度。
The stable-vacuum mixer designed by this way is able to control air fuel ratio in confromity with the variations of engine load and ensures to operate safely and reliably.
按此方法设计的稳定真空度混合器，能够根据发动机负荷的变化而控制空燃比，且工作安全可靠。
The basis for realizing the optimizing control of soaking pits is combustion control, the key in which is to control the ratio of air to fuel.
燃烧控制是实现均热炉群优化控制的基础，而燃烧控制的核心是空燃比控制。
The basis for realizing the optimizing control of soaking pits is combustion control, the key of which is to control the ratio of air to fuel.
燃烧控制是实际均热炉群优化控制的基础，而燃烧控制的核心是空燃比的控制。
For air fuel ratio signal of a gasoline engine, there exist transmission delay, which affects the control accuracy of air fuel ratio using directive air fuel ratio sensor signals.
车用汽油机空燃比存在传输延迟，直接用于反馈控制影响空燃比的控制精度。
With the dedicated CNG control strategy and quality kits, the air-fuel ratio was well controlled in all CNG operating conditions.
采用了专用的燃气汽车控制策略及高精度的燃气系统关键部件，实现了全功况的下的空然比精确控制。
Combined with control characteristics of engine air fuel ratio, the CMAC controller which is self adaptive to compensate fuel injection volume is studied.
结合发动机空燃比的控制特征，研究了一种能自适应补偿喷油量的CMAC控制器。
By means of an identified adaptive neural fuzzy inference system (ANFIS) model of the excess air factor, the simulation of static state air fuel ratio feed-forward control was carried out.
借助于辨识的过量空气系数自适应神经网络模糊推理系统(ANFIS)模型，进行了静态空燃比前馈控制仿真。
Through close loop control by an oxygen sensor, the actual air-fuel ratio is controlled to the ideal air-fuel ratio and the exhaust emission is reduced by a three unique catalytic converter.
利用氧传感器实现闭环控制，将实际空燃比控制在理论空燃比附近，从而通过三元催化剂控制排放。
Aimed at the characteristics of coal bed methane, an air-fuel ratio control method which is based on CMAC neural network and PID is adopted and its arithmetic is elaborated in this article.
针对煤层气的特性，本文提出了一种基于CMAC神经网络和PID复合控制的空燃比控制方法，并对其算法进行了详细的阐述。
Secondly, the control strategy of Electronic control System is analyzed, including fuel-air ratio control and ignition advance Angle control.
其次，分析了电控系统的控制策略，包括空燃比控制和点火提前角控制。
Study on Air-Fuel Ratio and Engine Speed Control for Automotive Systems;
控制面板上两个旋钮直接控制辊速度。
Study on Air-Fuel Ratio and Engine Speed Control for Automotive Systems;
控制面板上两个旋钮直接控制辊速度。
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