Model-based design and test of vibration energy harvester for aircraft application

This paper deals with a development process of a vibration energy harvesting device in aircraft applications. The vibration energy harvester uses ambient energy of mechanical vibration and it provides an autonomous source of energy for wireless sensors or autonomous applications. This application presents a complex engineering problem and the vibration energy harvester consists of precise mechanical part, electro-mechanical converter, electronics and a powered application. It can be perceive as a mechatronic system and a mechatronic approach was used for development of our vibration energy harvester. An essential step of development process is simulation modeling which is based on mechatronic approach. Presented model-based design of vibration energy harvester is very useful during development process and the whole development process of the autonomous energy source is presented in this paper. The main aim of the paper is an introduction of our development methodology and our approach is presented on a sample of the vibration energy harvester for aircraft applications under project ESPOSA.     

A level set approach for optimal design of smart energy harvesters

The proliferation of Micro-Electro-Mechanical Systems (MEMS), portable electronics and wireless sensing networks has raised the need for a new class of devices with self-powering capabilities. Vibration-based piezoelectric energy harvesters provide a very promising solution, as a result of their capability of converting mechanical energy into electrical energy through the direct piezoelectric effect. However, the identification of fast, accurate methods and rational criteria for the design of piezoelectric energy harvesting devices still poses a challenge. In this work, a level set-based topology optimization approach is proposed to synthesize mechanical energy harvesting devices for self-powered micro systems. The energy harvester design problem is reformulated as a variational problem based on the concept of topology optimization, where the optimal geometry is sought by maximizing the energy conversion efficiency of the device. To ensure computational efficiency, the shape gradient of the energy conversion efficiency is analytically derived using the material time derivative approach and the adjoint variable method. A design velocity field is then constructed using the steepest descent method, which is further integrated into level set methods. The reconciled level set (RLS) method is employed to solve multi-material shape and topology optimization problems, using the Merriman–Bence–Osher (MBO) operator. Designs with both single and multiple materials are presented, which constitute improvements with respect to existing energy harvesting designs.     

Power sensitivity of vibration energy harvester

This paper deals with a power sensitivity improvement of an electromagnetic vibration energy harvester which generates electrical energy from ambient vibrations. The harvester provides an autonomous source of energy for wireless applications, with an expected power consumption of several mW, placed in environment excited by ambient mechanical vibrations. An appropriately tuned up design of the harvester with adequate sensitivity provides sufficient generating of electrical energy for some wireless applications and maximal harvested power depends on a harvester mass, frequency and level of the vibration and sensitivity of the energy harvester. The design of our harvester is based on electromagnetic converter and it contains a unique spring-less resonance mechanism where stiffness is provided by repelled magnetic forces. The greater sensitivity of the harvester provides more generated power or decrease of the harvester size and weight.     

Microenergy harvesting applications for outdoor power equipment

An energy harvesting system designed in this paper is of electromagnetic linear-motion inertial type that is capable of converting kinetic energy into useful electrical energy. The harvester consists of moving magnet–iron poles enclosed by cylindrical coils and an iron stator, and two stationary magnets are placed at both end sides acting as spring. The developed energy harvester is to be used for outdoor power equipment such as lawnmower and snow blower. Preliminary vibrational analysis is conducted on the lawnmower and snow blower to determine its working frequency and the optimal point of vibration. It was determined that the lawnmower resonated at a frequency of 15 Hz while the snow blower resonated at 21 Hz. Two methods are used to tune the energy harvesting system. The first is changing the stationary magnet thickness while keeping the magnet air gap constant and second is changing the air gap while keeping the stationary magnet thickness constant. We found that it is optimal to change the air gap rather than the magnet thickness to change the natural frequency of the device. The energy harvesting system is tuned to work on a lawnmower where the natural frequency is 15 Hz. Natural frequency of 15 Hz is obtained when the magnet thickness is 9.525 mm and a gap of 70.75 mm, where the maximum power dissipated is 29 mW.     

具有时滞反馈控制的双稳态压电-电磁式俘能器的随机动力学

本文研究了色噪声激励下具有时滞反馈控制的双稳态压电-电磁混合式俘能器的动力学特性.首先,建立了非线性双稳态压电-电磁俘能器的集中参数型机电耦合运动方程,并基于能量包线随机平均法推导得到系统稳态概率密度函数和平均输出功率表达式,通过蒙特卡洛数值方法验证了理论解的正确性.其次,分析了时滞和反馈增益系数对系统输出功率的影响.研究结果表明：在一定参数范围内,随着位移时滞与速度时滞的增加,输出功率出现周期性变化,并在特定的时滞与反馈增益组合下达到最大值;调节反馈增益系数可以改变输出功率的相位和大小.说明通过合理地设置时滞反馈控制可以提高俘能器的采集功率,为随机激励下非线性振动俘能器的设计和优化提供一定的理论依据.     

Design and experimental study of broadband hybrid energy harvester with frequency-up conversion and nonlinear magnetic force

In this paper, a novel broadband hybrid piezoelectric and electromagnetic energy harvester using in the low frequency vibration environment is proposed, which combines nonlinear magnet force and frequency-up conversion mechanism simultaneously. Performances are studied by theoretical analysis and experimental test. Electromechanical governed equations of harvester are established, and analytical solutions of vibration response, output voltage and power are derived. Then, effects of nonlinear force, spacing between low frequency vibration beam and piezoelectric beam, load resistance and input excitation on harvester performances are investigated by experimental test. It can be concluded that the harvester can be used to work at the low-frequency environment efficiently, and the resonant frequency and harvesting bandwidth can be tuned by the nonlinear force between the magnets and the spacing between beams. Moreover, the larger the nonlinear magnetic force and the smaller the distance between two beams, the lower working frequency and the larger bandwidth. Compared with the corresponding linear apartment, output power and bandwidth of proposed harvester are improved 90% and 125% respectively.

     

Electromagnetic vibration energy harvesting device optimization by synchronous energy extraction

This paper investigates a new application of nonlinear techniques for vibration energy harvesting. The Synchronous Electric Charge Extraction (SECE) energy harvesting technique for piezoelectric generators is extended and adapted to electromagnetic generators. This new circuit, which is the dual of the SECE circuit, is named SMFE for Synchronous Magnetic Flux Extraction. A theoretical model is developed, and the harvested power is simulated. Comparisons with a classical energy extraction approach show that between 2.5 more power and 10% less power can be harvested, depending on the generator characteristics. It also allows the maximum power to be harvested whatever the value of the load. Finally, the SMFE circuit was embedded and tested on a simple centimeter-scale electromagnetic harvester. Measurements confirm the theoretical operating principle of the circuit.     

基于MEMS的压电微能量采集器的电路研究与测试

微能量采集技术是利用某种效应把周围环境中的某种形式的能量转换成电能,为嵌入式系统和无线传感网络中的MEMS器件供能。本文探讨了一种基于MEMS技术的压电型微能量采集器。微能量采集器工作于低频环境,当给其振动激励信号时,它能够把机械能转换为电能。但是能量采集器直接输出的是交流电压,一般不能直接为器件供能。所以,利用AC-DC电路把交流转换为直流,实现为MEMS器件供能。文中给出了微能量采集器的测试电路,同时给出了测试结果,论证了在低频环境下这种微能量采集器的可行性。     

振动抑制与能量俘获专刊序

工程系统中梁结构经常处于各种激励的作用下,因而梁结构在这种环境下不可避免地发生着各种各样的强迫振动.在梁结构发生振动的过程中,其自身会受到的温度、湿度、电磁场、裂纹等众多内外部因素的影响,而众多内外部因素就构成梁的多物理场耦合环境.在多场耦合环境下,Green函数法作为一种解析方法在研究梁的多场耦合振动问题方面具有优势,有利于讨论力、电、热、裂纹等因素作用下梁的振动特性和多场耦合特性.Green函数法相比于模态叠加法,优点在于能够得到完整且精度较高的解析解,具有收敛性好,运算快的特点.本文主要阐述Green函数在梁的强迫振动、热力耦合振动、力电耦合振动、裂纹梁振动等研究问题上取得了大量的理论和工程研究成果.本文以裂纹为内因,热、力、电为外因进行分类,阐述了在内外因影响下梁的强迫振动问题Green函数解的研究现状,从而让读者进一步系统性的了解Green函数法在振动领域中的广泛应用,以及了解该方法本身的特色和优势奠定基础.     

Mathematical modelling of cylindrical electromagnetic vibration energy harvesters

In this paper the first steps for the derivation of a mathematical model to describe the mechanical behaviour of a cylindrical electromagnetic vibration energy harvester, designed to extract energy from human gait to power biomedical implantable devices, are provided. As it is usual, in the modelling of such devices, the proposed mechanical model is also based on the solution of Newton's second law, but here a nonlinear closed-form expression is used for the resulting magnetic force of the system, unlike what has been done in previous works where, traditionally, that expression is a linear or is a nonlinear approximation of the real one. The main feature of this mechanical model is that it depends on several parameters which are related to the main characteristics of this kind of devices, which constitutes a major advantage with respect to the usual models available in the literature since these characteristics can always be changed in order to optimize the device.     

圆片级低真空封装的MEMS压电振动能量收集器结构设计

MEMS低真空封装技术能为MEMS器件的可动部分提供低阻尼环境,降低能量损耗,有效提高器件的能量转换效率,具有重要的研究意义和应用前景,是MEMS技术的研究热点和难点。为了进一步提高MEMS压电振动能量收集器的输出性能,提出了圆片级低真空封装的共质量块MEMS压电悬臂梁阵列振动能量收集器新结构,通过有限元分析方法对器件结构参数进行了优化设计,在优化结构参数下仿真器件输出性能：在610 Hz、2 gn加速度下,器件的输出电压为8.88 V,输出功率为1220μW,能满足实际应用需求;根据器件结构设计了加工工艺流程,对低真空封装结构的实现和封装工艺探索具有重要意义。     

窄带随机激励下三稳态压电俘能器的动力学特性与实验研究

本文研究了窄带随机激励下三稳态压电俘能器的动力学输出特性.首先,建立了非线性三稳态压电俘能器的分布参数型机电耦合运动方程,并基于多尺度法推导得到系统运动方程响应的解析解以及一阶、二阶稳态矩的表达式.其次,分析了磁铁间距、噪声强度和激励幅值等参数对系统稳态响应的影响.研究结果表明,在一定参数范围内,随着噪声强度的增加,压电振动俘能器会经历阱内振动、阱间振动甚至大轨道周期运动,以表现出单稳态、双稳态和三稳态特性;改变磁铁水平间距和竖直间距构造三稳态压电俘能器,其振动幅值和采集电压相较于双稳态明显提高.最后,通过实验比较了压电俘能器在不同位形时的采集性能,结果表明了三稳态压电俘能器的优越性,为窄带随机激励下的非线性振动俘能器的设计提供一定的理论依据.     

闭合磁路电磁式低频振动能量收集装置

为了提高能量转换效率,提出一种新型电磁式低频振动能量收集装置。该装置形成闭合磁路,大幅度提高了能量获取能力;同时利用对称布置的4片磁轭平衡了振子所受磁力,大幅降低振子运动阻力。通过Ansoft Maxwell静态仿真,分析了气隙宽度、相对磁导率、铁芯半径和衔铁齿厚度对线圈最大磁感应强度的影响,并据此优化了参数。另一方面,利用动态仿真得出1 Hz的振动频率下,可产生1.5 V感应电动势,最大有效功率可达12.02 mW,表明装置可以用于为低功耗的无线传感网络节点供电。     

A piezoelectric energy harvester with a mechanical end stop on one side

Nonlinear effects as severe as proof mass impact on mechanical end stops are potentially useful for energy harvesting. In this paper, we present measurements and modeling of a piezoelectric energy harvester with a mechanical end stop on one side. At high acceleration levels we observe nonlinear effects related to impacts on the end stop such as an enlarged up-sweep bandwidth in frequency sweeps. Based on SPICE simulations of an electrical equivalent circuit for the device, we show that modeling of the end stop as a parallel spring-dashpot system is sufficient to recapture the energy harvester behavior.     

Micro harvester using isotropic charging of electrets deposited on vertical sidewalls for conversion of 3D vibrational energy

The design and fabrication process of an integrated micro energy harvester capable of harvesting electrical energy from low amplitude mechanical vibrations is presented. A specific feature of the presented energy harvester design is its capability to harvest vibrational energy from different directions (3D). This is done through an innovative approach of electrets placed on vertical sidewalls, allowing miniaturization of 3D capacitive energy harvester fabrication on monolithic CMOS substrates. A new simple electret charging method using ionic hair-dryers is used. The charging performance of SiO₂ and CYTOP electrets are characterized for electrets in horizontal arrangement and electrets deposited on vertical sidewalls.     

Survey on mechatronic engineering: A focus on design methods and product models

According to the principles of concurrent engineering and integrated design, engineers intend to develop a mechatronic system with a high level integration (functional and physical integrations) based on a well-organised design method. As a result, two main categories of issues have been pointed out: the process-based problems and the design data-related problems. Several approaches to overcome these issues have been put forward. To solve process-based problems, a dynamic perspective is generally used to present how collaboration can be improved during the mechatronic design. For design data-related problems, solutions generally come from product models and how to structure and store the data thanks to the functionality of data and documents management of Product Lifecycle Management systems. To be able to assess design methods and product models, some criteria are proposed in the paper and used to evaluate their added value on integrated design of mechatronic system. After this assessment, main outcomes which focus on the combination of design method and product model for improving the design of mechatronic system are finally discussed.     

智慧能源-----人工智能技术在电力系统中的应用与展望

在环境污染日趋严重,化石能源逐渐枯竭的背景下,能源系统的发展趋向于清洁化、智能化,我国已将智慧能源的发展提升为国家战略.电力系统作为能源系统的核心环节,应用广泛,具有较强的调节能力且控制复杂,其智能化程度将决定能源系统的智能化水平.伴随着分布式电源、电动汽车、分布式储能元件等具有能源生产、存储、消费多种特性的新型能源终端高比例接入电网,现代电力系统呈现出复杂非线性、强不确定性、强耦合性等特点,传统建模、优化、控制技术存在诸多局限性,人工智能技术将是解决复杂系统控制与决策问题的有效措施.鉴于此,首先梳理人工智能在电力系统应用的发展脉络;然后根据人工智能在电力系统的应用热点领域,阐述人工智能技术在电力系统调度、规划以及电力市场等方面的应用,并对各重点研究内容的未来方向进行展望.     

智能控制：从学习控制到平行控制

20世纪60年代,学习控制开启了人类探究复杂系统控制的新途径,基于人工智能技术的智能控制随之兴起.本文以智能控制为主线,阐述其由学习控制向平行控制发展的历程.本文首先介绍学习控制的基本思想,描述了智能机器的架构设计与运行机理.随着信息科技的进步,基于数据的计算智能方法随之出现.对此,本文进一步简述了基于计算智能的学习控制方法,并以自适应动态规划方法为切入点分析非线性动态系统自学习优化问题的求解过程.最后,针对工程复杂性与社会复杂性互相耦合的复杂系统控制问题,阐述了基于平行控制的学习与优化方法求解思路,分析其在求解复杂系统优化控制问题方面的优势.智能控制思想经历了学习控制、计算智能控制到平行控制的演化过程,可以看出平行控制是实现复杂系统知识自动化的有效方法.