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Optimizing Energy Consumption for Lighting Control System via Multivariate Extremum Seeking Control With Diminishing Dither Signal

机译:通过减少抖动信号的多元极值寻优控制优化照明控制系统的能耗

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Because that the light-energy consumption (LC) is growing quite dramatically over the past decades, the light-energy efficiency is regarded as a key component of the modern energy system in major cities. In this paper, a novel and sophisticated algorism of lighting control is presented to improve light-energy efficiency and cut down energy consumption, when considering the lighting system with multilighting equipment. In this paper, a multivariate extremum seeking controller is used to manipulate, respectively, the luminance of multilighting equipment, in order to track the minimal LC efficiently. Meanwhile, a proportional-integral-differential (PID) approach is adopted to achieve the required level of illumination. The proposed extremum seeking control (ESC) is designed to ensure the amplitude of the dither signal converge exponentially to zero, by making the amplitudes change with the extremum estimation error. The presented frame helps to improve search speed for the minimal LC value and remove the steady-state oscillations. The comparative experiments reveal that, compared with the convergence velocity of the Newton- and gradient-based ESCs, the developed method for the track of the minimal LC can have higher accuracy and faster speed.Note to Practitioners-In a modern large commercial building, the exorbitant LC is an important problem for the engineering technicians and managers, and the hybrid lighting system which combines artificial light with natural light offers a solution to this problem. However, the minimum light-energy optimal control is a very key problem in manipulating multigroup lighting equipment, since the required level of illumination usually varies according to the exterior lighting environment. This paper contributes to a useful multivariate extremum seeking controller to solve these light-energy control problems for multiple-input single-output hybrid lighting system, whereas the PID controller is also designed to maintain the required level of illumination simultaneously. This paper discusses how to seek the minimal energy necessary for the required levels of illumination by separately regulating different light equipment. The research results of this paper will be beneficial for a practical application of extremum seeking control method in enhancing the lighting energy efficiency of lighting system.
机译:由于过去几十年来光能消耗(LC)急剧增长,因此光能效率被视为主要城市现代能源系统的关键组成部分。在本文中,提出了一种新颖而复杂的照明控制算法,以在考虑使用多照明设备的照明系统时提高光能效率并降低能耗。在本文中,使用多元极值搜寻控制器分别操纵多重照明设备的亮度,以便有效地跟踪最小LC。同时,采用比例积分微分(PID)方法来达到所需的照明水平。提出的极值搜寻控制(ESC)设计为通过使振幅随极值估计误差而变化,以确保抖动信号的振幅指数收敛于零。提出的框架有助于提高最小LC值的搜索速度,并消除稳态振荡。对比实验表明,与基于牛顿梯度和梯度梯度的ESC的收敛速度相比,所开发的最小LC跟踪方法可以具有更高的准确性和更快的速度。对于工程技术人员和管理人员来说,过高的LC是一个重要的问题,而将人造光与自然光相结合的混合照明系统为该问题提供了解决方案。然而,最小的光能最佳控制是操纵多组照明设备的一个非常关键的问题,因为所需的照明水平通常根据外部照明环境而变化。本文为解决多输入单输出混合照明系统的这些光能控制问题提供了一种有用的多元极值搜索控制器,而PID控制器还旨在同时维持所需的照明水平。本文讨论如何通过分别调节不同的照明设备来寻求所需照明水平所需的最小能量。本文的研究成果将有助于极值寻道控制方法在提高照明系统照明能效方面的实际应用。

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