一维PSD背景光补偿的研究

分析了PSD的背景光非线性成因,并根据PSD的背景光非线性特点,提出了用神经网络的BP算法对PSD的背景光非线性进行了补偿,从而使PSD的背景光非线性获得了与线性近似的线性度．计算机仿真表明,该方法能有效地消除背景光的影响,在神经网络的输出端得到期望的线性输出．     

对电网无功功率补偿的探讨

文章论述了采用有效的无功补偿技术可以提高电网安全运行的能力,提高末端电压和保证供电质量,节约电能损耗。     

基于RBF神经网络的井眼方位角误差建模及补偿

对于陀螺钻井测斜技术而言,由于惯性器件本身误差及井下恶劣条件带来的干扰均具有复杂性,误差补偿是影响测量精度的关键因素。在阐述陀螺测斜原理、分析测斜系统可能产生的各种误差的基础上,进行了测斜仪转台实验,并采用神经网络中的径向基函数理论建立了井眼方位角误差模型,将其建模性能指标与双线形插值建模指标进行综合对比,结果表明RBF网络建模时间短、拟合性能好、预测能力强、补偿后方位角误差得到有效抑制、补偿精度高,各项指标均优于双线形插值方法。     

基于生态经济学理论与方法的生态补偿量化研究

以生态系统服务和生态足迹的理论和方法为基础,从国家宏观层面建立生态补偿的判定标准、量化模型和计算方法.在此基础上以中国各省份为例,研究中国区域之间的生态补偿量化问题.结果表明:1)生态赤字大小的顺序为东部>中部>西部,而生态系统服务价值贡献顺序恰好相反.2)东部地区该支付的生态补偿总量为439.50×108yuan/a,各省平均为73.25×108yuan/a;中部总量为482.98×108yuan/a,各省平均为40.25×108yuan/a,西部总量158.56×108yuan/a,各省平均为12.20×108yuan/a.建议国家建立生态补偿基金,协调区域生态服务与生态占用的矛盾.     

结合非线性CS算法的UWB-SAR运动补偿

载机飞行不稳对SAR成像质量影响很大,对超宽带SAR系统尤其如此,提出了一种结合非线性CS算法的超宽带SAR运动补偿方法。通过采用引入高次相位补偿和非正交旁瓣抑制的改进非线性CS算法,减小了超宽带SAR成像中的相位误差。通过成像前的常规一阶运动补偿和距离徙动校正后的分块二阶运动补偿,有效补偿了超宽带SAR中的方位空变运动误差,提高了飞行不稳时的成像质量。该方法在运动补偿时考虑了方位空变运动误差随距离的变化,针对载机运动误差变化较快的情况也给出了处理办法。仿真和实测数据的处理结果验证了该方法的有效性。     

基于IMM/EA的卫星姿态控制系统重构容错控制

研究了在轨卫星姿态控制系统发生可修复性故障状况下的系统重构容错控制。对于处于稳态的三轴稳定卫星,当姿态发生突变时,启动故障检测与诊断(FDD)子系统,采用交互式多模型(IMM)算法得到故障发生的位置以及故障模型,同时利用故障模型中的动力学系统进行特征结构配置(EA),生成重构控制器对原系统进行补偿控制。将FDD过程与重构控制器的设计过程结合,避免了单独设计FDD子系统然后再进行系统重构带来的计算量和时间延迟。最后通过数值仿真验证了该算法的有效性。     

小波神经网络的改进及应用

提出一种带有动态补偿的双隐层小波神经网络,其中过程神经元隐层完成对输入信息过程模式提取和对时间的聚合运算,小波函数代替非时变一般神经元隐层函数,用于提高网络对系统输入输出之间复杂关系的映射能力,动态补偿用于提高建模精度.将其应用于管道泄漏故障的检测,收到良好的效果.     

QFT control based on zero phase error compensation for flight simulator

To improve the robustness of high-precision servo systems, quantitative feedback theory (QFT) which aims to achieve a desired robust design over a specified region of plant uncertainty is proposed. The robust design problem can be solved using QFT but it fails to guarantee a high precision tracking. This problem is solved by a robust digital QFT control scheme based on zero phase error (ZPE) feed forward compensation. This scheme consists of two parts: a QFT controller in the closed-loop system and a ZPE feed-forward compensator. Digital QFT controller is designed to overcome the uncertainties in the system. Digital ZPE feed forward controller is used to improve the tracking precision. Simulation and real-time examples for flight simulator servo system indicate that this control scheme can guarantee both high robust performance and high position tracking precision.     

Hierarchical Neural Networks Method for Fault Diagnosis of Large-Scale Analog Circuits

A novel hierarchical neural networks (HNNs) method for fault diagnosis of large-scale circuits is proposed. The presented techniques using neural networks(NNs) approaches require a large amount of computation for simulating various faulty component possibilities. For large scale circuits, the number of possible faults, and hence the simulations, grow rapidly and become tedious and sometimes even impractical. Some NNs are distributed to the torn sub-blocks according to the proposed torn principles of large scale circuits. And the NNs are trained in batches by different patterns in the light of the presented rules of various patterns when the DC, AC and transient responses of the circuit are available. The method is characterized by decreasing the over-lapped feasible domains of responses of circuits with tolerance and leads to better performance and higher correct classification. The methodology is illustrated by means of diagnosis examples.