超高增压柴油机与斯特林发动机复合运行的分析

本文对超高增压柴油机与斯特林发动机的复合运行进行了初步的探讨,陈述了这种复合运行作为未来发动机技术发展方向之一的可能性。     

车载冰箱变频控制器的开发

根据车载冰箱的功能需求,以德州仪器公司的TMS320F28035芯片为主控制芯片,设计一款能根据用户的指令及冰箱的温度控制无刷直流电机变频调速的控制器;此控制器由3个模块组成:一是开关电源模块,采用boost升压电路,将12/24V的汽车电源电压升至40V供给电机驱动模块;二是电机驱动模块,通过反电动势法检测无刷直流电机的位置,控制电机启停及变频调速;三是通信模块,采用抗干扰能力强的485通信方式实现控制器与上位机的通信;实验结果表明,控制器的可靠性高,制冷能力强,最低温度可低于-19°C,比普通车载冰箱更节能,满足了使用的要求。     

Robust flat filtering DSP based control of the boost converter

The article deals with the design and implementation of a flat filter tracking digital controller for a boost dc-dc power converter. A highly perturbed switched boost converter circuit is shown to be efficiently controlled, in a trajectory tracking task for its non-minimum phase output, by means of a suitable linear filter, here addressed as a flat filter. Flat filtering is a natural robust version of generalized proportional integral control (GPIC) by which the effects of arbitrary time varying exogenous disturbances, unknown endogenous nonlinearities and un-modeled dynamics can be jointly attenuated in a conceptually similar fashion to observer-based active disturbance rejection control (ADRC) and algebraic identification based model free control (MFC) but: a) without using extended state observers and b) respecting the original system order in a time-varying simplified model while avoiding algebraic estimation techniques. The proposed control technique based on the TMS320F28335 digital signal processor chip is tested by means of realistic simulations and experimental setup.     

低功耗电荷泵 DC/DC 升压电路设计

电源管理芯片的应用范围十分广泛,发展电源管理芯片对于提高整机性能具有重要意义,对电源管理芯片的选 择与系统的需求直接相关。其中电荷泵电路通过电荷转移方式工作,来达到在无电感元件情况实现一定升压,因此该升 压电路和该款电源管理芯片在应用中很受欢迎。该设计分析的低功耗电荷泵 DC/DC 升压电路是同国外某公司的合作项 目。该电路采用 0.35 μm 标准的 CMOS 工艺制成,输入电压在 2.5 V～5.0 V,且输入电压高于或低于输出电压时,输出 电压都可保持稳定的低纹波输出,并能自动工作于升压或降压模式。该电荷泵电路采用比较升压电路,有效的降低了芯 片功耗,特别在轻负载情况下提高了系统的转换效率。电路还具有软启动、过热保护及过流保护等多重保护功能。仿真 结果均达到预定指标,是设计理论与实践相结合的一次有价值的尝试。     

Maximum Power Extraction Control Algorithm for Hybrid Renewable Energy System

In this research, a modified fractional order proportional integral derivate (FOPID) control method is proposed for the photovoltaic (PV) and thermoelectric generator (TEG) combined hybrid renewable energy system. The faster tracking and steady-state output are aimed at the suggested maximum power point tracking (MPPT) control technique. The derivative order number (µ) value in the improved FOPID (also known as PI^λD^µ) control structure will be dynamically updated utilizing the value of change in PV array voltage output. During the transient, the value of µ is changeable; it’s one at the start and after reaching the maximum power point (MPP), allowing for strong tracking characteristics. TEG will use the freely available waste thermal energy created surrounding the PV array for additional power generation, increasing the system’s energy conversion efficiency. A high-gain DC-DC converter circuit is included in the system to maintain a high amplitude DC input voltage to the inverter circuit. The proposed approach’s performance was investigated using an extensive MATLAB software simulation and validated by comparing findings with the perturbation and observation (P&O) type MPPT control method. The study results demonstrate that the FOPID controller-based MPPT control outperforms the P&O method in harvesting the maximum power achievable from the PV-TEG hybrid source. There is also a better control action and a faster response.     

A portable multifunctional power box

In this study, we used a microcontroller to provide and control power to multiple sources using the highly efficient energy storage provided by the direct current (DC) bus of a lithium iron phosphate (LiFePO₄) battery. Through multiple loops, high-efficiency buck and boost conversion, and DC-to-alternating current (AC) conversion, the power box can quickly and simultaneously provide three sets of voltage outputs, 5-V DC, 19–22-V DC, and 110-V AC, to different electronic devices. Multiple sets of conversion output voltages were achieved using multiple sets of conversion circuits, in parallel to the DC bus. Compared with a single conversion output voltage, the multiple sets of conversion output voltages from the energy storage battery had a higher practicability. For a single output voltage, the battery provided a suitable voltage to different electric devices via a substage converter, thus lowering the overall conversion efficiency. For practical applications such as camping, blackouts, long journeys, emergencies, and rescues, the multiple sets of converted voltage outputs offer substantial functional convenience. For safety control, we used a single-chip controller to quickly detect various overcurrent situations.     

峰值电流模升压转换器的动态斜坡补偿电路设计

基于HHNEC 0.35 μm BCD工艺设计了一种应用于峰值电流模升压转换器的动态斜坡补偿电路.该电路能够跟随输入输出信号变化,相应给出适当的补偿量,从而避免了常规斜坡补偿所带来的系统带载能力低及瞬态响应慢等问题.经Cadence Spectre验证,该电路能够达到设计要求.     

闭环Boost电路电解电容的故障预测方法研究

为了实现闭环Boost电路中电解电容的故障预测,本文采用基于特征参数退化的方法,利用LS-SVM及LS算法对电解电容的特征参数序列进行预测,实现了电解电容的故障预测与剩余寿命估计.仿真及物理实验均证明了本文方法的有效性及准确性.     

基于选择性集成的最大化软间隔算法

当前,boosting集成学习算法研究主要集中于最大化弱学习器凸组合的间隔或软间隔,该凸组合几乎使用了生成的所有弱学习器,然而这些弱学习器间存在大量的相关性和冗余,增加了训练和分类过程的时空复杂度.针对这一问题,在LPBoost基础上提出了一种选择性boosting集成学习算法,称为SelectedBoost.在每次迭代生成新的弱学习器以后,通过计算新生成的弱学习器与已有弱学习器的相关度和差异度,并结合当前集成的强学习器的准确率来判断是否选择该弱学习器.另外,当前的一系列boosting算法(如AdaBoost,LPBoost,ERLPBoost等),本质上是基于已生成的1个或者多个弱学习器来更新样本权重,但与弱学习器相比,强学习器更能代表当前的决策面.因此,SelectedBoost通过在带约束的间隔最大化问题中引入更加严格的强学习器边界约束条件,使得该算法不仅参考弱学习器边界,同时还参考已生成的强学习器来更新样本权重,进而提高算法的收敛速度.最后,与其他有代表性的集成学习算法进行实验比较,结果表明,该方法在收敛率、分类准确性以及泛化能力等方面均具有比较明显的优势.     

基于MATLAB的Buck/Boost直流变换器仿真

对Buck和Boost直流变换器电路进行介绍,并且应用Matlab分别进行建模、仿真。在仿真过程中,改变触发脉冲的占空比,从而改变变换器的输出电压、电流,与理论分析结果进行比较。