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1.
针对新型机器人多自由度运动机构的需求,提出了一种新型六相双定子螺旋运动永磁执行器。执行器特点在于每个定子均为六相双Y移30°绕组,两个定子铁心采用螺旋形齿槽结构,对两个定子绕组通入六相不同相序电流组合便可产生多自由度运动方式。执行器具有控制方式灵活、容错性能强、可靠性稳定等优点。首先对螺旋运动永磁执行器的结构及运行机理进行分析,推导了执行器的磁链方程、电压方程、转矩和推力方程。最后构建了瞬态三维多自由度数值分析模型,得到了磁链、电压、转矩和推力的波形,验证了运行机理的正确性。 相似文献
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针对传统准Z源逆变器(quasi-Z-Source Inverter,QZSI)升压能力和功率协调控制能力的不足,本文提出将储能电池与开关电感型QZSI相结合构成储能型开关电感QZSI(Energy-Storage Switched-Inductor QZSI,ES-SLQZSI),提高了系统升压倍数和功率协调能力,并针对ES-SLQZSI系统,提出一种基于有限集模型预测控制(Finite Control Set-Model Predictive Control,FCS-MPC)结构的功率控制策略,在单级变换系统中实现了最大功率点追踪(MPPT)和并网功率控制。建立了ES-SLQZSI的离散时间模型,基于此模型设计预测函数与代价函数。然后,设计光伏功率MPPT模块和输出功率管理模块。相比于传统多级结构的储能光伏系统,该系统结构简单,无需额外的DC-DC变换器;相比于传统双环PI PWM控制策略,该方法简单易行,所需PI控制器少,无需PWM调制器;动态响应速度优良,适合被控变量较多的非线性系统。仿真结果验证了控制策略的有效性。 相似文献
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《International Journal of Hydrogen Energy》2022,47(7):4814-4826
This paper develops a novel approach to the parameterisation of high temperature exchange membrane fuel cells (HTPEMFC) with limited and non-invasive measurements. The proposed method allows an effective identification of electrochemical parameters for three-dimensional fuel cell models by combining computational simulation tools and genetic algorithms. To avoid each evaluation undertaken by the optimisation method involving a complete computational simulation of the 3D model, a strategy has been designed that, thanks to an iterative process, makes it possible to decouple the fluid dynamic resolution from the electrochemistry one.Two electrochemical models have been incorporated into these tools to describe the behaviour of the catalyst layer, Butler-Volmer and spherical aggregate. For each one, a case study has been carried out to validate the results by comparing them with empirical data in the first model and with data generated by numerical simulation in the second. Results show that, from a set of measured operating conditions, it is possible to identify a unique set of electrochemical parameters that fits the 3D model to the target polarisation curve. The extension of this framework can be used to systematically estimate any model parameter in order to reduce the uncertainty in 3D simulation predictions. 相似文献
6.
Nonintrusive load monitoring (NILM) is crucial for extracting patterns of electricity consumption of household appliance that can guide users’ behavior in using electricity while their privacy is respected. This study proposes an online method based on the transient behavior of individual appliances as well as system steady-state characteristics to estimate the operating states of the appliances. It determines the number of states for each appliance using the density-based spatial clustering of applications with noise (DBSCAN) method and models the transition relationship among different states. The states of the working appliances are identified from aggregated power signals using the Kalman filtering method in the factorial hidden Markov model (FHMM). Thereafter, the identified states are confirmed by the verification of system states, which are the combination of the working states of individual appliances. The verification step involves comparing the total measured power consumption with the total estimated power consumption. The use of transient features can achieve fast state inference and it is suitable for online load disaggregation. The proposed method was tested on a high-resolution data set such as Labeled hIgh-Frequency daTaset for Electricity Disaggregation (LIFTED) and it outperformed other related methods in the literature. 相似文献
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In process industry, predictive control approaches have been widely used for nonlinear production processes. Practically, the predictor in a predictive controller is extremely important since it provides future states for the optimization problem of controllers. The conventional predictive controller with precise mathematical predictors approximating the state space of physical systems is difficult and time-consuming for nonlinear production processes, and it performs poorly over a wide range of working conditions and with significant disturbances. To address the challenges, the trend of applying artificial intelligence emerges. However, the industrial process-specific knowledge is ignored in most cases. In this study, a predictive controller with a control process knowledge-based random forest (RF) model is proposed. Specifically, working data are clustered at first to handle diverse working conditions. Then, a process knowledge-based forest predictor, namely MIW-RF model with a redesigned cascading RF structure, is proposed to incorporate control process knowledge into modeling. Thus, future states of controlled variables could be more accurately acquired for the optimizer. A simplified version of the predictive model is also developed with quick model training and updating. The proposed predictive methods are finally introduced into the controller design. According to the empirical results, the proposed methods deliver a better control performance against benchmarks, including more accurate anticipated controlled-variable responses, better set-point tracking and disturbance rejection capability. 相似文献
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为了提高四轮转向(4WS)汽车的操纵稳定性和主动安全性,建立汽车二自由度四轮转向模型和系统状态方程,应用LQR最优控制理论建立了以横摆角速度和质心侧偏角为优化目标的四轮转向线性控制二次型最优控制模型,并基于路径跟踪策略建立预瞄驾驶员方向控制模型。基于"人-车-路"闭环控制系统,在Matlab/Simulink、CarSim联合仿真环境下对普通前轮转向、前后轮转角比例控制、LQR控制的控制效果进行验证。结果表明:LQR控制器能够很好地改善汽车质心侧偏角和横摆角速度的动态响应特性,高速控制效果最佳,基于LQR控制的4WS汽车具有更好的道路循迹能力、高速稳定性和主动安全性。 相似文献
9.
阶梯形丁坝是常见的航道整治建筑物,天然河道中的水流多为非恒定流,非恒定流作用下的阶梯形丁坝局部冲刷特性研究,对丁坝结构设计和水毁防护等具有重要意义。采用自回归马尔柯夫模型,将天然来流过程概化为波谷起冲和波峰起冲2种情况,基于平面二维水流泥沙数学模型,探讨非恒定流作用下的阶梯形丁坝局部冲刷特性。结果表明:① 不同流量过程下,坝后主流区和回流区的流速均随上游来流量的变化而变化,波谷起冲时主流区随冲刷历时的增加逐渐分为2个区域,而波峰起冲时主流区在初期便被分为2个区域。② 受主流区变化和冲坑后方淤积区的共同影响,波谷起冲时的冲坑下游边界向下游凸起后回缩,波峰起冲时的冲坑边界向坑内收缩后扩散到下游,坝头最大冲深较恒定流条件可增加25.5%~54.3%。③ 如采用一级丁坝长度Ld1表征冲坑尺度,6 h冲刷历时中,波谷起冲时冲坑长度、宽度最大值分别可达9.2Ld1和2Ld1,波峰起冲时则分别可达11.3Ld1和2.1Ld1。 相似文献
10.
《International Journal of Hydrogen Energy》2022,47(91):38884-38894
This paper presents experiments performed at Canadian Nuclear Laboratories (CNL) to examine the dispersion behaviour of helium in a polycarbonate enclosure that was representative of a residential parking garage. The purpose was to gain a better understanding of the effect of buoyancy- or wind-driven natural ventilation on hydrogen dispersion behaviour. Although hydrogen dispersion studies have been reported extensively in the literature, gaps still exist in predictive methods for hazard analysis. Helium, a simulant for hydrogen, was injected near the centre of the floor with a flow rate ranging from 5 to 75 standard litres per minute through an upward-facing nozzle, resulting in an injection Richardson number ranging between 10?1 and 102. The location of the nozzle varied from the bottom of the enclosure to near the ceiling to examine the impact of the nozzle elevation on the development of a stratified layer in the upper region of the enclosure. When the injection nozzle was placed at a sufficiently low elevation, the vertical helium profile always consisted of a homogenous layer at the top overlaying a stratified layer at the bottom. To simulate outdoor environmental conditions, a fan was placed in front of each vent to examine the effect of opposing or assisting wind on the dispersion. The helium transients in the uniform layer predicted with analytical models were in good agreement with the measured transients for most tests. Model improvements are required for adequately predicting transients with primarily stratified profiles or strong opposing wind. 相似文献