ID 原文 译文
55667 针对上述问题,以四旋翼飞行器为应用对象,提出一种基于物理效应分析和非线性度量的混合建模策略,根据各类物理效应对飞行姿态的影响程度界定先验模型和非参数模型的建模目标,并根据各类物理效应的非线性程度运用模糊推理算法选择合适的线性化方法。 According to the above problem, four rotor aircraft as application object, put forward a hybrid modeling based on the physical effect analysis and nonlinear measure strategy, according to the influence degree of various physical effects on flight attitude define a prior model and nonparametric model modeling goals, and according to the degree of various physical effects of the nonlinear fuzzy reasoning algorithm to choose the appropriate linearization method.
55668 实验结果证明了混合模型的可靠性和建模准确性。 The experimental results show that the reliability of hybrid model and modeling accuracy.
55669 针对欠驱动水面船舶(underactuated surface vessel,USV)航向保持稳定性问题,对船舶自动舵控制系统设计了分数阶PIλDμ控制器。 In view of underactuated surface ship (underactuated surface vessel, USV) course-keeping stability problem, to the ship autopilot control system fractional lambda D mu PI controller is designed.
55670 积分阶次λ和微分阶次μ的引入使得分数阶比例-积分-微分(proportion integration differentiation,PID)PIλDμ控制器具有更好的鲁棒性和抗扰动能力,但同时也加大了算法设计的难度。 Integral order status and the introduction of the differential order mu make fractional order proportional integral differential (proportion integration differentiation, PID) lambda D mu PI controller has better robustness and the ability to resist disturbance, but also increased the difficulty of algorithm design.
55671 使用改进粒子群算法对分数阶PIλDμ控制器参数进行整定,即解决了粒子群算法容易使粒子陷入局部最优问题,又解决了分数阶PIλDμ控制器整定参数多、设计复杂问题。 Using improved particle swarm algorithm of fractional order lambda D mu PI controller parameters setting, which solved the particle swarm optimization (pso) algorithm is easy to make particles trapped in local optimal problem, and solved the fractional order PI lambda D mu controller setting parameters, design more complex problems.
55672 通过仿真对比实验,结果表明,该控制器能很好地根据船舶动态特性变化,自动进行适应性参数优化,具有跟踪速度快、航向控制超调小以及抗扰性强等优点。 Through simulation experiments, the results show that the controller can well according to the ship's dynamic characteristics change, automatically adaptive parameter optimization, tracking speed, heading control small overshoot and strong resistance to interference, etc.
55673 针对非平面场景3D结构产生的视差对导弹及无人机等空中机动成像平台运动目标检测影响,从提高运动目标检测的快速性和准确性角度,基于梯度抑制算法,提出了改进算法。 For nonplanar scene 3 d structure of parallax of missiles and unmanned aerial maneuvering imaging platform moving target detection, from the Angle of improve the quickness and accuracy of moving target detection, based on gradient suppression algorithm, the improved algorithm is proposed.
55674 首先,在非平面场景的运动目标检测中,考虑到视差干扰主要出现在背景边缘上,采用梯度抑制法滤除视差像素。 First of all, in a planar scenes in moving target detection, considering the parallax interference mainly appeared on the edge of the background, by using gradient suppression filter parallax pixels.
55675 其次,对经过梯度抑制法滤波后的像素,应用外极几何约束,进一步滤除机动成像平台大角度机动产生的剩余视差像素,从而提取出离散的运动目标像素,并进行二值化处理。 Second, on after gradient suppression filter pixels, a geometric constraints outside applications, further filter out mobile imaging platform of large Angle maneuver remaining parallax pixels, so as to extract moving object discrete pixels, and binarization processing.
55676 然后,采用行列投影的方法对二值化的运动目标像素进行分类,确定运动目标区域。 Then, adopt the method of the ranks of the projection of binarization pixels are classified, a moving target motion target area is determined.