ID 原文 译文
14115 最后,搭建硬件测试平台进行测试和验证。 A hardware test platform was built up for testing and verification.
14116 系统开发遵循集成化、模块化的设计,以现场可编程门阵列(FPGA)以及高速交叉开关协议芯片为核心,设计实现了分辨率为1920×1080@60 Hz,4.25 Gibit/s链路速率的8路ARINC 818视频输入、24路ARINC 818视频输出的高速视频实时切换输出显示系统。 The development of the system adopted integrated and modular design.With Field Programmable Gate Array(FPGA) and high-speed crossover protocol chip as the core‚a high-speed‚real-time video switching output display with 8-channel ARINC 818 video input and 24-channel ARINC 818 video output‚a resolution of 1920×1080@60 Hz and a link rate of 4.25 Gibit/s was designed.
14117 该设计方案已在多个型号中成熟应用,具有重要的实际应用价值。 The design scheme has been successfully applied to multiple types of aircraft‚and has important practical application value.
14118 针对采用永磁同步电机(PMSM)驱动的某车载稳定平台交流伺服系统存在摩擦力矩、惯性力矩、负载扰动等一系列复杂非线性问题,考虑到自抗扰控制的抗扰能力强和BP神经网络的自我学习能力强的特点,设计了一种BP神经网络改进型自抗扰控制器(BPNN-ADRC)。 There are a series of complex nonlinear problems such as friction torque‚inertia moment and load disturbances in the AC servo system of a vehicle-mounted stable platform driven by a Permanent Magnet Synchronous Motor(PMSM).In view of the strong anti-interference ability of Active Disturbance Rejection Control(ADRC) and the strong self-learning ability of BP Neural Network(BPNN)‚an Active Disturbance Rejection Controller improved by BPNN(BPNN-ADRC) is designed.
14119 为了简化自抗扰控制耗时费力的参数整定过程,采用BP神经网络对自抗扰控制器中的重要参数进行在线整定；针对BP神经网络收敛速度慢、易陷入局部最优的缺陷,引入遗传算法对其初始连接节点的权重进行在线寻优,以期进一步提高系统的控制精度。 In order to simplify the process of parameter tuning of ADRC‚which is time-consuming and laborious‚the BPNN is used to tune the important parameters of the ADRC controller online. In order to overcome the defects of slow convergence of the BPNN and its tendency of falling into local optimum‚the genetic algorithm is introduced to perform online optimization of the weights of the initially connected nodes‚so as to further improve the control accuracy of the system.
14120 仿真实验结果显示:该控制策略能有效提升系统的抗干扰能力,为提高车载稳定平台伺服系统的控制性能提出了一种可行的方案。 The results of simulation experiment show that the control strategy can effectively improve the anti-interference ability of the system‚which is a feasible scheme for improving the control performance of the servo system of the vehicle-mounted stable platform.
14121 针对小型无人机在高速飞行时的横向振荡问题,从飞行控制系统原理出发分析了造成振荡的各类因素,重点分析了飞控参数和系统延时等影响因素,并进行了仿真验证,确定出振荡的原因。 To solve the problem of lateral oscillation of small UAVs in high-speed flight‚this paper analyzes all kinds of factors causing oscillation from the perspective of the principle of the flight control system‚ focuses on such factors as flight control parameters and system delay‚and conducts simulation verification to determine the cause of the oscillation.
14122 通过采取在高速飞行时对飞控参数增加调节系数和减小系统延时等措施,以仿真和实际飞行的方式验证了改进措施的有效性,较好地解决了横向振荡问题。 By adopting the measures of adding an adjusting coefficient to flight control parameters and reducing the system delay in high-speed flight‚the effectiveness of the improvements is verified by simulation and actual flight‚and the problem of lateral oscillation is solved.
14123 提出了一种主要针对地面目标的高精度被动地理定位的方法,该方法结合旋转椭球地球平行面模型与光电探测系统瞄准线地理姿态,推导了目标高精度被动定位解析算法。 This paper proposes a high-precision passive geolocation method aiming at ground targets. This method uses a rotating ellipsoid model parallel to the surface of the earth and the posture angles of the line-of-sight of the photoelectric detector system to deduce the analytical algorithm of the high-precision passive geolocation of ground targets.
14124 为提高测量定位精度,通过对地面目标在地球坐标系中的运动建立加速度当前统计模型作为状态方程,利用地面目标被动定位解析结果作为量测方程,应用标准卡尔曼滤波方法进一步提升目标定位精度。 In order to improve the precision of measurement and positioning‚based on the motion of ground targets in the earth coordinate system‚a current statistical model of the acceleration is established and taken as the state equation‚the solution of passive geolocation of ground targets is taken as the measurement equation‚and the method of standard Kalman filtering is used to further improve the target-positioning accuracy.