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首页> 外文期刊>Indian Journal of Science and Technology >Computation Intelligence Techniques to Control the Temperature of Steam Generation in Thermal Power Plant
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Computation Intelligence Techniques to Control the Temperature of Steam Generation in Thermal Power Plant

机译:控制火力发电厂蒸汽温度的计算智能技术

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Objectives: The aim is to detect damage in boiler of steam plant by using intelligence technique to improve the boiler performance. Experimental information is obtained by use an industrial boiler operating at Al- Dura power plant. Methods/ Statistical Analysis: This manuscript presents is to compare intelligence technique for boiler of steam power plant PID, ANFIS, PSO technique. Various controllers for temperature will be developed to keep boiler operating in normal conditions as well as improving the effectiveness. Such parameters will be modified via building a model that will be implemented in MATLAB based on the requirements of steam power plants as well as the control aims. Findings: The results of the study indicated that the algorithm of PSO is the optimum controlled and top–quality performance regarding the power plants from PID controller. Application/Improvements: Application in indicated PID, ANFIS and PSO were utilized in Al-Dura power plant in Baghdad. Various industrial applications have applied these methods.
机译:目的:目的是通过智能技术检测蒸汽锅炉中的损坏,以提高锅炉的性能。通过使用在Al-Dura电厂运行的工业锅炉获得实验信息。方法/统计分析:本手稿介绍的是比较蒸汽电厂锅炉智能技术的PID,ANFIS,PSO技术。将开发各种温度控制器,以保持锅炉在正常条件下运行并提高效率。这些参数将通过建立模型进行修改,该模型将根据蒸汽发电厂的要求以及控制目标在MATLAB中实现。结果:研究结果表明,对于PID控制器中的发电厂,PSO算法是最佳的受控性能和顶级性能。应用/改进:在指示的PID,ANFIS和PSO中的应用已在巴格达的Al-Dura电厂中使用。各种工业应用已经应用了这些方法。

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