Experimental implementation of extremum-seeking control: Gas fuel efficiency at electrical generation under power requirements

IF 3.3 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Ricardo Femat , Jesús Torres-Mireles , Nimrod Vázquez-Nava
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引用次数: 0

Abstract

A current challenge stands for operating the emergency power system (EPS) that involves the challenge of supplying sufficient electrical energy at same time the fuel consumption is minimum. A complication arises as power requirements change during the EPS operation which can be seen as uncertain load disturbances. In such a context, the extremum-seeking (ES) is alternative towards the efficient energy conversion when control goal involves fuel optimization along the time operation. Here, the dynamical response of a gas fueled power plant is identified via Hammerstein model. The model is realized such that an ES control is designed for automatically reaching an extreme in face to distinct (unmeasured and uncertain) power requirements. The ES control is designed and experimentally tested at an electrical generator at distinct power requirements. The results show the minimum gas fuel consumption remains in face to distinct power requirements.
极值搜索控制的实验实施:电力需求下的发电气体燃料效率
目前,应急电力系统(EPS)的运行面临着一个挑战,即在提供充足电能的同时,将燃料消耗降至最低。在 EPS 运行过程中,电力需求会发生变化,这可以被视为不确定的负载干扰,因此出现了一个复杂问题。在这种情况下,当控制目标涉及沿时间运行的燃料优化时,极值搜索(ES)是实现高效能源转换的替代方法。在此,通过 Hammerstein 模型确定了燃气燃料发电厂的动态响应。通过该模型,可以设计出一种 ES 控制,在面对不同(无法测量和不确定)的功率要求时自动达到极值。设计的 ES 控制装置已在一台发电机上按不同的功率要求进行了实验测试。结果表明,在不同的功率要求下,气体燃料消耗量仍然最小。
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来源期刊
Journal of Process Control
Journal of Process Control 工程技术-工程:化工
CiteScore
7.00
自引率
11.90%
发文量
159
审稿时长
74 days
期刊介绍: This international journal covers the application of control theory, operations research, computer science and engineering principles to the solution of process control problems. In addition to the traditional chemical processing and manufacturing applications, the scope of process control problems involves a wide range of applications that includes energy processes, nano-technology, systems biology, bio-medical engineering, pharmaceutical processing technology, energy storage and conversion, smart grid, and data analytics among others. Papers on the theory in these areas will also be accepted provided the theoretical contribution is aimed at the application and the development of process control techniques. Topics covered include: • Control applications• Process monitoring• Plant-wide control• Process control systems• Control techniques and algorithms• Process modelling and simulation• Design methods Advanced design methods exclude well established and widely studied traditional design techniques such as PID tuning and its many variants. Applications in fields such as control of automotive engines, machinery and robotics are not deemed suitable unless a clear motivation for the relevance to process control is provided.
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