火电厂锅炉过热蒸汽温度是一类典型的大迟延、大惯性、时变、非线性控制对象。
Boiler superheated steam temperature is a typical object with large delay, inertia, time-varying and nonlinearity.
在各种扰动作用下，过热蒸汽温度动态特性具有大迟延、大惯性、时变性和非线性的特点。
With the effects of those, the dynamic characteristics of the SST have the features of large delay, great inertia, time-varying and non-linearity.
为了克服系统的大惯性和大迟延，引入灰色预测器对未来信号进行预测，预测结果作为DNN使用的整定信息。
For overcoming the big inertia and large time delay of the controlled plant, grey predictor is introduced to predict future output value, the predictive result is used as tuning information of DNN.
锅炉过热器蒸汽温度受控对象通常具有大惯性、大迟延、参数慢时变等特点。
The boiler super-heater steam temperature control object is generally with characteristic of parameters slow time variable, the great inertia and the larger time lag.
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 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 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.
应用推荐