长江生态航道技术研究进展与展望

建设生态文明是中华民族永续发展的千年大计,流域经济发展要将生态保护摆在压倒性位置。系统分析了生态航道的发展历程和研究现状,重点阐述了长江生态航道技术在理论框架与评价体系、生态航道建设技术、生态监测与修复补偿方法3方面取得的重要进展和突破,并对长江生态航道技术在几个大型航道整治工程中的应用实践进行了概述,最后结合长江生态航道技术研究进展与实践,指出了未来长江生态航道技术的发展方向。     

飞翼无人机非线性控制设计方法

为实现飞翼无人机的机动飞行,以带有流体矢量方向舵的飞翼无人机为设计对象,采用非线性设计方法设计了控制器,并进行飞行验证.针对飞翼无人机的机动飞行控制存在各种耦合和扰动的特点,设计内环线性化解耦以消除已知不利的耦合项,外环反步跟踪方法进行航迹跟踪的控制律结构,证明了该控制结构的稳定性.同传统反步控制方法相比,该控制器增加了内环解耦结构,并在控制结构中保留气动阻尼项,使得线性化后的系统为弱非线性系统.该结构不仅可以降低外环控制器设计的保守性,而且便于工程实现.仿真和飞行试验表明,该控制方案是有效的.     

Robust registration based compensation method based on sparse recovery

The loss of the degree of system freedom and mismatch of prior information based on the registration based compensation (RBC) method will result in a decline in computational performance. In order to solve above problems, a robust method named SRBC is proposed where the sparse recovery method is applied instead of the sub-aperture smoothing operation. First, the SRBC utilizes the sparse recovery to get the super resolution clutter space-time spectrum. Then the transition covariance matrix is calculated. Finally, the clutter covariance matrix is reconstructed by the Capon spectrum. Compared with the traditional RBC method, the SRBC proposed does not depend on sub-aperture smoothing operation and prior information and maintains the performance of clutter range-dependence. In addition, it is also steadier when the sensor error exists. Experimental simulation demonstrates the correctness and feasibility of this method.     

BP网络算法在平面运动测量误差补偿中的应用

在航天对接试验平台开发项目中,针对平面运动物体非接触高精度测量的难点,提出一种针对物体三自由度平面运动的创新性测量方法.利用激光测距传感器的并联组合,实现对物体位置和姿态的非接触式测量.以传感器测量值为输入样本,运用BP神经网络算法建立误差模型,通过调整权值因子使建立的网络模型能够拟合出测量误差,从而修正测量的数学模型.基于BP神经网络的误差补偿方法对平面运动物体测量误差的补偿具有明显的效果,能够满足位姿测量的精度要求.     

Registration based compensation method based on adaptive subspace tracking

The registration based compensation (RBC) method is an effective method to compensate the range-dependence of the main-lobe clutter and side-lobe clutter in the same time. However, the compensation performance of the RBC degrades because of the mismatch of prior information and the loss of degree of system freedom. Moreover, the RBC is not very suited for real-time implementation because of the enormous computational complexity and memory usage of eigenvalue decomposition. In this paper, a novel clutter range-dependence compensation method using the modified maximum likelihood adaptive subspace estimation algorithm, which is named the MRBC method for short, is proposed. The eigenvectors matrix and eigenvalues matrix of the clutter covariance matrix are estimated by iterative tracking instead of temporal and spatial smoothing, spectrum calculation and eigenvalue decomposition. Compared with the traditional RBC method, the proposed method can reduce the computational complexity significantly and maintain the performance of clutter range-dependence compensation. In addition, the proposed method can also achieve good performance when the system error exists because of no use of prior information. Experimental simulations demonstrate the validity of this method.     

A new design of foaming agent mixing device for a pneumatic foaming system used for mine dust suppression

To overcome the drawbacks of the conventional foam technology used for dust suppression,including large pressure loss,high water pressure and low driving pressure,a new pneumatic foaming system is introduced.Then an original design of foaming agent mixing device is proposed,and its performance is investigated and evaluated under different pressure compensations.Experimental results show that the maximum absorption amount increases by 2.9-6.7 times at a pressure compensation of 0.04-0.2 MPa compared with no pressure compensation.The pressure loss and pressure fluctuation both reduce significantly with increasing pressure compensation.The critical outlet pressure increases by30.4-240%.Field application indicates that the proposed mixing device ensures the reliable addition of foaming agent used for foam dust suppression.The effect of foam on dust suppression is remarkable,and the economic cost of foam is low.Therefore,there is reason to believe that the new mixing device will greatly promote foam technology to be widely used for suppressing dust in underground coal mines.     

一起低压电抗器差动保护误动分析与解决

文章分析了一起低压并联电抗器差动保护误动事故,通过现场录波数据仿真分析,证明了大量非周期分量的存在,使电抗器两侧电流互感器传变特性不一致,导致了差动保护动作。而通过基于参数识别的并联电抗器保护方法的现场数据仿真分析,解决了低压并联电抗器保护中存在的这一问题。     

H桥级联STATCOM自适应死区补偿方法

为消除死区效应对H桥级联静止同步补偿器(STATCOM)输出电压及电流的影响,提出一种新的死区补偿方法.根据离散扰动观测器的工作原理,设计相应的观测器,对由于死区效应引起的STATCOM输出电压与参考电压的差值进行实时在线观测,并将观测到的差值作为补偿量,引入到无差拍控制系统中,实现对死区的自适应补偿.仿真与实验结果表明,该方法可以有效地提高死区补偿效果,消除零点电流箝位现象,降低STATCOM输出电流的谐波含量.     

大型龙门机床的直线度误差建模及误差补偿

为减小大型龙门数控机床空间直线度误差,提高国产数控机床加工精度,提出基于B样条曲线的空间直线度误差模型及其补偿方法。使用激光干涉仪分别检测三轴龙门数控机床6个方向的直线度误差,应用B样条方法建立空间直线度误差数学模型.利用数控系统外部机械原点偏移功能,应用自主研发的误差实时补偿系统并依据基于B样条曲线的空间直线度误差数学模型,实现对大型龙门数控机床的空间直线度误差补偿.采用两轴联动补偿切削导轨面的方法进行试验,并与多项式模型和斜线插补模型进行对比,结果表明:B样条模型补偿后的导轨直线度最优,检测的导轨各方向直线度误差均减小90%以上,显著提高了大型龙门数控机床加工精度.     

降耗节能单相永磁同步电动机的研制

针对单相永磁同步电动机起动困难和运行时功率因数低的问题,计算和分析了起动过程中电磁转矩、转差率与起动电容之间的关系,获得使得起动转矩值最大的电容值,以缩短起动时间;通过调节补偿电容来调控电机功率因数,从而降低运行电流实现节能.仿真和样机实验表明,正确选择起动电容值可以提高电机自起动性能,实时调节补偿电容值可以获得明显的节能效果.研究工作和结论对开发高起动性能的高效单相永磁同步电动机有参考价值.