Ensuring the quality of the main steam temperature control system is an essential part for the unit plant's safe and economical operation in the power plant.
在电厂锅炉运行中，保证主汽温控制系统的控制品质是机组经济安全运行不可缺少的环节。
This paper put forward the scheme applying modern control theory-state variable quantity observation and control to boiler's main steam temperature control system as well as parameter tuning method.
提出了把现代控制理论的状态变量观测与控制系统理论应用于主汽温度控制系统的方案和参数整定方法。
The main steam pressure control system, bed temperature measure system, bed temperature adjust system and action condition of main fuel trip (MFT) are analyzed.
对主蒸汽压力控制系统、床温测量系统、床温校正系统和主燃料跳闸的动作条件进行了详细的分析。
Based on the methods of adaptive inverse control, double loops of disturbance canceling system are designed for the main steam temperature system.
基于自适应逆控制方法设计了主汽温系统的双回路扰动消除系统。
In view of large delay and uncertainty of the main steam temperature object in a power plant, combining with internal model controller, a control system based on adaptive PSD has been designed.
针对火电厂主汽温对象大迟延、不确定性的特点，结合内模控制器设计了基于自适应PS D控制器的控制系统。
A new main-steam temperature control scheme of utility boiler is proposed by combining the dynamic matrix control arithmetic with the cascade control structure.
将动态矩阵控制算法与串级控制相结合，提出了一种新的火电厂锅炉主汽温控制方案。
A new superheated steam temperature control system design scheme is proposed, the main controller design is based on Adaptive Network-based Fuzzy Inference system (ANFIS).
提出一种新型的过热汽温控制方案，主控制器基于自适应神经网络模糊推理系统(ANFIS)进行设计。
The temperature of the main steam system is a tipical control of long time-delay, long inertia time and parameter-varying, so it is difficult to achieve a high-quality effect.
火电厂主蒸汽温度具有大迟延、大惯性的特点，且对象特性随负荷变化较大等因素，很难实现稳定和高性能的控制。
The simulations on the main steam-temperature control system of the electric plant boiler show that the controller and its training algorithms are possible and effective.
对电厂锅炉主蒸汽温度控制的仿真结果表明了此控制器及其学习算法的可行性和有效性。
The simulations on the main steam-temperature control system of the electric plant boiler show that the controller and its training algorithms are possible and effective.
对电厂锅炉主蒸汽温度控制的仿真结果表明了此控制器及其学习算法的可行性和有效性。
应用推荐