基于改进粒子群优化模糊控制的MPPT算法研究

在光照强度和温度变化时,常规的最大功率点跟踪(MPPT)算法难以快速准确地跟踪光伏系统最大功率点。针对此问题,设计了一种改进粒子群优化算法(PSO)的模糊控制器。首先,依据常规MPPT特性,设计了一种带调整因子的模糊控制算法以快速收敛到最大功率点；然后,采用参数自适应PSO对设计的模糊控制器调整因子进行动态优化。仿真结果表明:所设计的参数自适应PSO优化模糊控制器能快速准确地跟踪最大功率点,保证了MPPT的动态响应速度和稳态精度,提高了光伏系统的工作效率。     

基于预测电流控制的光伏并网系统最大功率点跟踪算法

针对光伏发电的突变性及昼发夜停特性提出一种新型的基于预测电流控制的光伏并网系统最大功率点跟踪(MPPT)算法。根据实际情况考虑光伏阵列的非线性特性,最大功率点周围光伏电压的振荡及逆变器、滤波器的设计等。为了确保系统采用控制算法的稳定性,MPPT的设计应运而生,在此基础上通过改进算法从光伏系统的电压与电流预测基准电流进而控制光伏并网系统。通过与传统的波动相关控制方法对比给出了仿真结果。仿真结果表明:在光照发生突变时,与传统的波动相关控制法相比,提出的改进算法的跟踪速度较之提升9.3%,并能够准确跟踪光伏并网系统最大功率点,且性能稳定可靠。     

基于TS模型的模糊神经网络光伏MPPT控制

为了克服传统最大功率点跟踪(MPPT)方法的一些缺点,使光伏系统更加快速准确地工作在最大功率输出点,提出了基于模糊控制和神经网络控制相结合的自适应控制方法。该方法充分利用模糊神经网络处理非线性问题的优点,通过模糊控制来改变步长,利用神经网络的自学习能力来快速达到平衡,使光伏MPPT在跟踪速度和稳定性之间达到一个较优的平衡。仿真和试验结果表明,基于模糊神经网络自适应控制的MPPT方法具有较强的鲁棒性和自适应能力。     

基于变步长与非对称模糊的光伏MPPT控制策略

针对于光伏发电系统的输出特性,容易受到外界变数的影响而出现非对称的强非线性特征,输出的功率会偏离最大输出功率点的现象。分析了最大功率点跟踪的几种常用控制策略的优缺点,对PU曲线进行了分析,提出了非对称模糊与变步长电导增量法相结合的控制策略。这里的变步长电导增量法可以在远离最大功率点两侧时,快速靠近最大功率点,当进一步靠近最大功率点区间附近时,采取非对称模糊控制进行寻优,能够较好地削弱系统在最大功率点周围的振荡现象,提升整个系统的稳定性能。通过MATLAB/Simulink进行建模仿真对比,得出所提的方法有较好的动态性能。     

永磁直驱风电系统中最大功率点跟踪控制优化的仿真研究

分析了风力机特性、永磁直驱电机模型、变换器控制策略及各种功率跟踪控制算法优缺点,并提出一种基于爬山搜索法的最大功率点跟踪(MPPT)控制方法的优化。在MATLAB/Simulink环境下搭建了永磁直驱风力发电系统模型,仿真分析了控制方法对最大功率点的跟踪效果,结果表明当风机起动及风速变化时MPPT控制方法能够使系统快速稳定在新的工作点,捕获得最大功率。由此验证了改进优化后的控制方法及所搭建模型的准确性与有效性。     

光伏水泵提水系统功率补偿器设计

光伏水泵提水系统是一种环保、可持续的新能源提水系统。但是光伏阵列的输出功率既不稳定又不连续,难以实现24 h连续高效运行。由此提出了一种光伏-市电联合供电的提水系统,通过功率补偿器进行协调控制,亦即在光伏出力不足时,自动接入市电进行功率缺额补偿。针对已有的系统为单级电路的特点,分析了现有的功率补偿器方案的局限。提出了一种三相市电经过整流电路后直连直流母线的功率补偿器设计方案；根据设计方案,在MATLAB/Simulink环境中搭建了相应的仿真模型并进行仿真验证；最后,通过试验对功率补偿器的功能、效率等进行了测试,试验结果验证了设计方案的可行性。     

基于扰动跟踪法的单相两级式光伏并网逆变器研究

两级式单相逆变并网装置拥有单独控制、效率高等特点.针对并网光伏系统中的两级单相逆变装置展开研究,此逆变装置两级由Boost直流变换装置与逆变装置组成.Boost直流升压装置实现最大功率点追踪,逆变装置实现并网逆变操作.最大功率点控制采用扰动追踪法,该控制与并网逆变控制彼此独立、互不影响.Matlab实验仿真及实物平台试验均证实了该策略的实用性.     

基于模拟退火粒子群算法的波浪发电系统最大功率跟踪控制

波浪发电系统最大功率点跟踪控制中,传统粒子群算法存在早熟收敛和局部搜索能力不足问题,为此提出基于模拟退火算法的粒子群优化方案。该算法每次更新粒子的速度和位置时,通过比较当前温度下各个粒子的适配值与随机数的大小,从所有粒子中确定全局最优解的替代值,从而使粒子群算法在发生早熟收敛时能够跳出局部最优并快速找到全局最优解。仿真结果表明,与传统粒子群优化算法相比,模拟退火粒子群算法可有效避免波浪发电系统陷入局部最大功率点,并快速实现全局最大功率跟踪,提高了波浪能捕获率。     

高空驻留太阳能飞机主动式光伏组件面功率特性研究

 光伏组件面功率特性是影响太阳能飞机性能指标的关键因素之一。首先建立了考虑光伏组件表面温度、太阳能飞机飞行高度、纬度及一年四季等因素的光伏组件面功率模型,分析了光伏组件在一年范围内的日均直射、日均水平面功率随飞行高度、纬度和季节等关键设计指标参数的变化规律,对比研究了3种跟踪采能方式下的主动式光伏组件(TPM)的逐时、日均面功率特性。结果表明:在一天的光照时间内和全年范围内,主动式光伏组件能显著提高光伏组件的面功率特性。然后,参考了典型的太阳能飞机"Helios"和"Zephyr",综合考虑能源与气动特性,初步设计了一种采用主动式光伏组件的高空驻留太阳能飞机布局方案,通过分析其日均净面功率特性得出:合理设计主动式光伏组件,可以显著提高太阳能飞机的日均净面功率约32%~66%,甚至可达116%。这些结论均说明,从采能效率和气动特性两方面综合来说,所提出的基于主动式光伏组件的布局设计思想在高空驻留太阳能飞机总体布局设计时具有良好的应用优势。     

太阳能无人机能源系统的初步设计方法

正太阳能无人机与燃料无人机、电动无人机的最根本区别在于能源系统,因为太阳能无人机在空中飞行过程中仅依靠太阳能电池阵列转换太阳光照辐射能来产生电能,而不用中途降落添加燃料或为电池充电,可以实现超长时间的空中巡航,在军事及民用领域都有很广阔的应用前景。太阳能无人机的能源系统直接影响全机的输出功率和质量,主要由太阳能电池阵列、锂电池、最大功率跟踪(Maximum Power Point Tracking,MPPT)控制器等部分     

变前掠翼气动布局纵向性能研究

发展和改进了一种变前掠翼气动布局及其设计思想,设计了集战斗和轰炸于一体的通用任务模式,并根据设计指标和翼身融合技术初步设计了变翼几何外形。采用N-S方程计算了该几何外形不同构型的纵向气动性能,分析了机翼前掠角对不同任务模式下纵向气动性能的影响。结果表明,变前掠翼气动布局可通过改变机翼前掠角来获取最佳纵向气动性能。     

永磁直线同步电机滑模控制系统

设计了一种基于滑模变结构的永磁直线同步电机(PMLSM)矢量控制系统。从直线电机的基本工作原理出发,通过坐标变换,建立PMLSM在两相同步旋转正交坐标系上的数学模型。基于滑模变结构和李雅普诺夫稳定性理论设计转速调节器,组成PMLSM滑模控制系统。为了验证该控制系统的有效性,在MATLAB/Simulink平台下搭建系统的模型并进行仿真。仿真表明,该控制系统具有很强的鲁棒性。     

Fault diagnosis of an intelligent hydraulic pump based on a nonlinear unknown input observer

Hydraulic piston pumps are commonly used in aircraft. In order to improve the viability of aircraft and energy efficiency, intelligent variable pressure pump systems have been used in aircraft hydraulic systems more and more widely. Efficient fault diagnosis plays an important role in improving the reliability and performance of hydraulic systems. In this paper, a fault diagnosis method of an intelligent hydraulic pump system (IHPS) based on a nonlinear unknown input observer (NUIO) is proposed. Different from factors of a full-order Luenberger-type unknown input observer, nonlinear factors of the IHPS are considered in the NUIO. Firstly, a new type of intelligent pump is presented, the mathematical model of which is established to describe the IHPS. Taking into account the real-time requirements of the IHPS and the special structure of the pump, the mechanism of the intelligent pump and failure modes are analyzed and two typical failure modes are obtained. Furthermore, a NUIO of the IHPS is performed based on the output pressure and swashplate angle signals. With the residual error signals produced by the NUIO, online intelligent pump failure occurring in real-time can be detected. Lastly, through analysis and simulation, it is confirmed that this diagnostic method could accurately diagnose and isolate those typical failure modes of the nonlinear IHPS. The method proposed in this paper is of great significance in improving the reliability of the IHPS.     

一种新型液压泵变排量机构的设计与仿真

为提高一体化电液作动器(EHA)的性能,对新型EHA中广泛使用的变排量液压泵中的变量机构进行了优化设计。采用锥蜗轮蜗杆传动代替了原来的齿轮传动体系并与泵壳体进行了一体化设计,采用solidworks进行了三维实体化建模,运用AMESim搭建了改进前后EHA系统的仿真模型并进行对比分析。经过仿真实验,改进后的EHA系统在整体刚度提升了31%,频率响应提升了11.2%,显著改善了系统性能,验证了设计的正确性。     

Single-phase grid-connected PV system using three-arm rectifier-inverter

A grid-connected photovoltaic (PV) power supply system with on-line voltage regulation capability is presented. It employs the three-arm rectifier-inverter topology with PV modules connected directly on the dc-link. The common-arm is with line-frequency switching and synchronous to the input voltage, aiming for a lower switching loss and decoupling the control of rectifier and inverter portions. As a result, the rectifier and inverter portions can be controlled independently with the rectifier-arm and inverter-arm, respectively. For maximum power point tracking (MPFF) of the PV modules and balancing the power among utility, PV, and the load, a variable dc-link voltage is adopted and controlled by the rectifier-arm based on the MPPT control algorithm. The inverter-arm then regulates the load voltage with good regulation and low distortion. Due to large variation of the dc-link voltage, a feedforward plus feedback control technique with variable gain is developed to keep constant bandwidth of the current loop at any operation condition. Therefore, the performance of the rectifier and inverter portions can be ensured. A system containing a 2 kVA converter and a 1.2 kW PV module is set up, and some experimental results are provided for demonstrating the effectiveness of the proposed method.     

基于电液伺服控制燃油泵的航空发动机控制与仿真

为探索轻质化燃油系统结构，基于电调燃油变量泵的航空发动机转速控制系统，构建了柱塞泵斜盘位置电液伺服控制系统，油泵出口燃油直接输入电液伺服阀；建立了电液伺服阀线性化模型。通过数字仿真，研究了电液伺服阀工作特性，并得到了其适应性模型；在航空发动机特性半物理试验系统上，对斜盘位置电液伺服控制系统实物进行了验证试验，并与航空发动机模型一起构成了发动机转速闭环控制系统。结果表明：变输入压力的燃油电液伺服位置控制系统有效可行，变量泵工作稳定可靠，电液伺服阀模型能够准确反映实际工作状况；基于变参数PI控制算法的转速闭环控制初步取得成效。     

Variable load failure mechanism for high-speed load sensing electro-hydrostatic actuator pump of aircraft

This paper presents a novel transient lubrication model for the analysis of the variable load failure mechanism of high-speed pump used in Load Sensing Electro-Hydrostatic Actuator (LS-EHA). Focusing on the slipper/swashplate pair partial abrasion, which is considered as the dominant failure mode in the high-speed condition, slipper dynamic models are established. A forth sliding motion of the slipper on the swashplate surface is presented under the fact that the slipper center of mass will rotate around the center of piston ball when the swashplate angle is dynamically adjusted. Besides, extra inertial tilting moments will be produced for the slipper based on the theorem on translation of force, which will increase rapidly when LS-EHA pump operates under high-speed condition. Then, a dynamic lubricating model coupling with fluid film thickness field, temperature field and pressure field is proposed. The deformation effects caused by thermal deflection and hydrostatic pressure are considered. A numerical simulation model is established to validate the effectiveness and accuracy of the proposed model. Finally, based on the load spectrum of aircraft flight profile, the variable load conditions and the oil film characteristics are analyzed, and series of variable load rules of oil film thickness with variable speed/variable pressure/variable displacement are concluded.     

双变量一体化电动静液作动系统研究

分析了变排量变转速型一体化电动静液作动系统,通过同时控制直流无刷伺服电机转速和伺服泵排量达到改变作动器输出的目的,并建立了其基于状态空间描述的数学模型,根据其双变量相乘的特点对其系统特性进行研究,提出了双变量一体化电动静液作动系统的基本控制方法.     

A new SINS/GPS sensor fusion scheme for UAV localization problem using nonlinear SVSF with covariance derivation and an adaptive boundary layer

The state estimation strategy using the smooth variable structure filter(SVSF) is based on the variable structure and sliding mode concepts. As presented in its standard form with a fixed boundary layer limit, the value of the boundary layer width is not precisely known at each step and may be selected based on a priori knowledge. The boundary layer width reflects the level of uncertainty in the model parameters and disturbance characteristics, where large values of the boundary layer width lead to robustness without optimality and small values of the boundary layer width provide optimality with poor robustness. As a solution and to overcome these limitations, an adaptive smoothing boundary layer is required to achieve greater robustness and suitable accuracy.This adapted value of the boundary layer width is obtained by minimizing the trace of the a posteriori covariance matrix. In this paper, the proposed new approach will be considered as another alternative to the extended Kalman filters(EKF), nonlinear H1 and standard SVSF-based data fusion techniques for the autonomous airborne navigation and self-localization problem. This alternative is based on strapdown inertial navigation system(SINS) and GPS data using the nonlinear SVSF with a covariance derivation and adaptive boundary layer width.Furthermore, the full mathematical model of the SINS/GPS navigation system considering the unmanned aerial vehicle(UAV) position, velocity and Euler angle as well as gyro and accelerometer biases will be used in this paper to estimate the airborne position and velocity with better accuracy.