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2020 39th Chinese Control Conference (CCC)最新文献

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The Optimized Design of the Integrated Navigation Filter 集成导航滤波器的优化设计
Pub Date : 2020-07-01 DOI: 10.23919/CCC50068.2020.9188899
Yanbing Guo, Lingjuan Miao, Xi Zhang
Since the raw pseudorange and pseudorange rate are taken as the measurements, the measurement equation of the tightly coupled SINS/GPS integrated navigation system is nonlinear. As a typical non-linear filtering algorithm, the Extended Kalman Filtering (EKF) linearizes the measurements and has high estimation accuracy in the tightly coupled SINS/GPS integrated navigation system. The state vector of the tightly coupled SINS/GPS integrated navigation system includes the states of two subsystems, therefore the dimension of the state vector is high. The dimension of the measurement vector depends on the number of received satellite signals. If many satellite signals are received, the dimension of the measurement vector is high. The high dimensions of the state vector and measurement vector will result in large computation load for the EKF. To solve this problem, this paper proposes an optimized filtering scheme based on the two-stage Kalman filtering and sequential Kalman filtering. In that case, the estimation accuracy is not seriously affected while the computation load is significantly reduced. The semi-physical simulation results prove the estimation accuracy of the proposed optimized filtering scheme.
由于采用原始伪距和伪距速率作为测量值,因此SINS/GPS紧密耦合组合导航系统的测量方程是非线性的。扩展卡尔曼滤波(EKF)作为一种典型的非线性滤波算法,在紧密耦合的SINS/GPS组合导航系统中对测量值进行线性化处理,具有较高的估计精度。紧耦合SINS/GPS组合导航系统的状态向量包含了两个子系统的状态,因此状态向量的维数很高。测量向量的维度取决于接收到的卫星信号的数量。如果接收到的卫星信号较多,则测量矢量的维数较高。状态向量和测量向量的高维会导致EKF的计算量很大。为了解决这一问题,本文提出了一种基于两阶段卡尔曼滤波和顺序卡尔曼滤波的优化滤波方案。在这种情况下,估计精度不会受到严重影响,但可以显著降低计算负荷。半物理仿真结果证明了所提优化滤波方案的估计精度。
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引用次数: 0
Aerial Video Multi-target Detection with Memory Module * 航空视频多目标检测与记忆模块*
Pub Date : 2020-07-01 DOI: 10.23919/CCC50068.2020.9189139
Haihong Chi, Xiangrui Gao
Multi-target detection for aerial video is widely applied for both military and civilian. A multi-target detection algorithm on aerial video with memory module is proposed in this paper. This method uses memory module to connect time-scale information, so that the information of past frames can be used to improve the detection result of the current frame. ShuffleNet unit which is based on depthwise convolution and channel mixing was been used in the feature extraction network. The experimental results on VisDrone dataset show that the detection algorithm presented in this paper possesses fast detection speed and higher accuracy.
航空视频多目标检测在军用和民用领域都有广泛的应用。提出了一种带存储模块的航拍视频多目标检测算法。该方法利用存储模块连接时间尺度信息,利用过去帧的信息来改进当前帧的检测结果。特征提取网络采用了基于深度卷积和信道混合的ShuffleNet单元。在VisDrone数据集上的实验结果表明,本文提出的检测算法具有较快的检测速度和较高的精度。
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引用次数: 1
Study on Single-phase Ground Fault Location of Distribution Network Based on MDS and DBSCAN Clustering 基于MDS和DBSCAN聚类的配电网单相接地故障定位研究
Pub Date : 2020-07-01 DOI: 10.23919/CCC50068.2020.9188678
Zhijun Mu, Yuguang Wu, Hongxu Yin, Zhigang Liu, Chunxiu Liu
When a single-phase grounding fault occurs in the distribution network with DG (Distributed Generation), the fault location is mainly completed by the switch information at the node. This method cannot make full use of the fault information and cannot be applied to the intelligent distribution network under the background of massive data. To solve the above problems, a single-phase grounding fault location method based on MDS (Multidimensional Scaling) and DBSCAN (Density- Based Spatial Clustering of Applications with Noise) is proposed. The simulation results show that the proposed method is not affected by fault location, fault resistance, fault angle and line type, and the fault location results are accurate, which can effectively use the fault information.
当有DG (Distributed Generation)的配电网发生单相接地故障时,故障定位主要依靠节点的开关信息来完成。该方法不能充分利用故障信息,不能应用于海量数据背景下的智能配电网。针对上述问题,提出了一种基于MDS(多维尺度)和DBSCAN(基于密度的带噪声应用空间聚类)的单相接地故障定位方法。仿真结果表明,该方法不受故障位置、故障电阻、故障角度和线路类型的影响,故障定位结果准确,能够有效地利用故障信息。
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引用次数: 2
Output regulation of Euler-Lagrange systems based on error and velocity feedback 基于误差和速度反馈的欧拉-拉格朗日系统输出调节
Pub Date : 2020-07-01 DOI: 10.23919/CCC50068.2020.9189351
Haiwen Wu, Dabo Xu, B. Jayawardhana
This paper considers robust output regulation of uncertain Euler-Lagrange (EL) systems by error (or relative position) and velocity feedback. We shall develop an adaptive internal model approach for the problem. Particularly, the proposed control law does not require apriori knowledge of reference signal and its derivatives, which are commonly assumed in literature. It enables a self-learning mechanism of the closed-loop EL systems where the adaptive internal model-based controller is able to learn the desired trajectories and adapt itself to the uncertain plant parameters. We also present a numerical example to illustrate the proposed result.
本文研究了误差(或相对位置)反馈和速度反馈对不确定欧拉-拉格朗日系统的鲁棒输出调节。我们将为这个问题开发一种自适应的内部模型方法。特别是,所提出的控制律不需要参考信号及其导数的先验知识,这在文献中通常是假设的。它实现了闭环电动力学系统的自学习机制,其中基于自适应内部模型的控制器能够学习所需的轨迹并适应不确定的对象参数。我们还给出了一个数值例子来说明所提出的结果。
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引用次数: 6
Multi-UAVs Target Attack Based on Improved Genetic Algorithm 基于改进遗传算法的多无人机目标攻击
Pub Date : 2020-07-01 DOI: 10.23919/CCC50068.2020.9188782
Jiarui Su, Juntong Qi, Chong Wu, Mingming Wang, Jinjin Guo
Task assignment is the main conundrum of multiple unmanned aerial vehicles (multi-UAVs) cooperative task execution, which has great research value. To solve the problem of task scheduling for multi-UAVs, a method based on improved genetic algorithm is proposed in this paper. Firstly, a mathematical model of task assignment is established based on the application environment of multi-UAVs attacking targets. Secondly, aiming at the problem of slow convergence speed and easy to fall into local extremum of genetic algorithm, the improved Metropolis criterion of simulated annealing algorithm is introduced into the genetic algorithm. Finally, the simulation results show that the improved genetic algorithm can reduce the amount of calculation, improve the quality of the results, and solve the task assignment problem of multi-UAVs more effectively.
任务分配是多架无人机协同执行任务的主要难题,具有重要的研究价值。针对多无人机任务调度问题,提出了一种基于改进遗传算法的多无人机任务调度方法。首先,根据多无人机攻击目标的应用环境,建立了任务分配的数学模型;其次,针对遗传算法收敛速度慢、易陷入局部极值的问题,将改进的模拟退火算法Metropolis准则引入遗传算法;最后,仿真结果表明,改进的遗传算法可以减少计算量,提高结果质量,更有效地解决多无人机的任务分配问题。
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引用次数: 3
Identification of FIR Systems with Quantized Input and Binary-Valued Observations Under A Priori Parameter Constraint 先验参数约束下具有量化输入和二值观测的FIR系统辨识
Pub Date : 2020-07-01 DOI: 10.23919/CCC50068.2020.9188983
Tian Yuan, Quanjun Liu, Jin Guo
This paper investigates the identification of FIR (finite impulse response) systems with quantized input and binary-valued observations. First, we obtain the ML (maximum likelihood) function of the available data, and construct an estimation algorithm of the unknown parameters when solving the maximum likelihood solution by transforming it into the solution to a set of linear equations. Secondly, based on the weighted least squares optimization technique, we establish the corresponding estimation algorithms in the case that the unknown parameters respectively satisfy a priori equality constraint and inequality constraint. Then, the AIC criterion is designed for estimating the order of the system. Finally, a numerical simulation example is employed to verify the effectiveness of the theoretical results obtained.
研究了具有量化输入和二值观测值的有限脉冲响应系统的辨识问题。首先,我们获得了可用数据的ML(极大似然)函数,并通过将极大似然解转化为一组线性方程的解,构造了求解最大似然解时未知参数的估计算法。其次,基于加权最小二乘优化技术,在未知参数分别满足先验等式约束和不等式约束的情况下,建立了相应的估计算法;然后,设计了AIC准则来估计系统的阶数。最后,通过数值仿真算例验证了理论结果的有效性。
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引用次数: 2
Optimal Lane Change Analysis for Vehicle Platooning Based on Lateral and Longitudinal Control 基于横向和纵向控制的车辆队列最优变道分析
Pub Date : 2020-07-01 DOI: 10.23919/CCC50068.2020.9189088
Runfa Zhou, Zhicheng Li, Zaiyue Yang
This paper mainly focuses on the problem of optimal lane change between vehicle platoonings. In order to evaluate the influence of the speed fluctuation of the vehicle platooning system in different scenarios, a fluctuation evaluation index is designed with consideration of merging comfort. Further, a corresponding optimization algorithm is proposed to search the optimal lane change speed and distance when vehicles request to merging into platoon. Above analysis is important because changing lane at the optimal speed can suppress the disturbance caused by merging into platoon and improve the stability of the vehicle platooning system, which has potential benefits for improving the merging comfort, and reducing the fuel consumption of the entire platoon system. Simulation results show that the proposed optimization algorithm is effective to find the value of lane change factors corresponding to the minimum system speed fluctuation.
本文主要研究车辆队列间最优变道问题。为了评估不同场景下车速波动对车辆队列系统的影响,设计了考虑合并舒适性的车速波动评价指标。在此基础上,提出了相应的优化算法,在车辆要求合并时搜索最优变道速度和距离。上述分析之所以重要,是因为在最优速度下换道可以抑制合并引起的干扰,提高车辆队列系统的稳定性,对提高合并舒适性,降低整个队列系统的油耗具有潜在的好处。仿真结果表明,所提出的优化算法能够有效地找到与系统速度波动最小值相对应的变道因子值。
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引用次数: 4
Research on the Sensor Node of the Unattended System for Remote Monitoring of the River and Lake 无人值守河湖远程监控系统传感器节点的研究
Pub Date : 2020-07-01 DOI: 10.23919/CCC50068.2020.9188484
Wang Jing, Hu Yunbing, Liu Ting-ting, Yang Xiujie
In order to monitor the water quality of rivers and lakes in real time in indoors, and protect the green hills and blue waters, a remote monitoring system of unattended surface water quality based on WSN (wireless sensor network) is designed and studied. The structure of the on-line monitoring system of water quality is studied, and the network and communication of the monitoring network are realized. Designs the pH monitoring sensor node, the intelligent wireless sensor network and the real-time information processing system are designed, and the information acquisition, processing, production, broadcasting and other functions of the whole system are finally completed. The experimental results show that the data transmitted by the method is accurate and reliable, can monitor the water quality of the river and lake basin in real time, and provide reference basis for the decision-making department, and provide real-time information for the good condition of the surface water quality.
为了在室内实时监测河湖水质,保护青山绿水,设计研究了一种基于WSN(无线传感器网络)的无人值守地表水水质远程监测系统。研究了水质在线监测系统的结构,实现了监测网络的网络化和通信。设计了pH监测传感器节点、智能无线传感器网络和实时信息处理系统,最终完成了整个系统的信息采集、处理、制作、播出等功能。实验结果表明,该方法传输的数据准确可靠,可实时监测河湖流域水质,为决策部门提供参考依据,为地表水水质状况良好提供实时信息。
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引用次数: 0
Stability and L1-gain analysis for switched positive systems: a mixed switching strategy 开关正系统的稳定性和l1增益分析:一种混合开关策略
Pub Date : 2020-07-01 DOI: 10.23919/CCC50068.2020.9189110
Peng Wang, Yaowei Sun
In this paper, we study stability and L1-gain problems for switched positive systems, in which stability for any subsystems do not necessarily requirement. First, the sufficient condition for exponential stability is established. By exploiting the multiple linear co-positive Lyapunov function method, stabilization and L1-gain conditions of switched positive systems are proposed. To reduce the switching frequency, a mixed switching strategy is proposed, which is different from traditional state-dependent or time-dependent switching. Then, a set of state-feedback controllers and a mixed switching strategy are dual developed to stabilize the system, and the corresponding linear vector inequalities are examined in terms of linear programming. Furthermore, L1-gain is studied as well. Finally, a numerical example is provided to show the validity of the proposed techniques.
本文研究了切换正系统的稳定性和l1增益问题,在这种情况下,对任意子系统的稳定性都没有要求。首先,建立了指数稳定的充分条件。利用多元线性共正Lyapunov函数方法,给出了开关正系统的稳定条件和l1增益条件。为了降低开关频率,提出了一种不同于传统状态依赖或时间依赖开关的混合开关策略。然后,建立了一组状态反馈控制器和混合切换策略来稳定系统,并用线性规划的方法检验了相应的线性向量不等式。此外,还研究了l1增益。最后,通过数值算例验证了所提方法的有效性。
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引用次数: 0
Design and Analysis of Joint-Assisted Exoskeleton Control System of Upper Limb in Active Spacesuit 主动航天服上肢关节辅助外骨骼控制系统设计与分析
Pub Date : 2020-07-01 DOI: 10.23919/CCC50068.2020.9189531
Z. Li, Yue-hong Dai, Jiejun Hu, Jun-yao Wang, Peng Tang
Based on joint-assisted exoskeleton technology, a concept of active spacesuit for future extraterrestrial exploration activities is presented. Firstly, we design the mechanical structure of joint-assisted exoskeleton of upper limb, and perform kinematic analysis on the upper limb to obtain the joint motion information when lifting load. We obtain the resistance torque of the spacesuit joint by the measuring equipment, and the total torque of the upper limb by the simplified two-links dynamic model. Then, we present the combination of adaptive impedance control and sliding mode control that based on CTC method. Finally, the prototype of joint-assisted exoskeleton robot of upper limb is fabricated and tested, and the experimental results indict that the control system can improve the trajectory tracking effect and eliminate the influences of environmental change. The research can not only help the astronauts more easily complete the task of collecting samples of the future manned space missions, but also provide a theoretical foundation for the subsequent research of active spacesuit.
基于关节辅助外骨骼技术,提出了一种用于未来地外探索活动的主动航天服的概念。首先,设计了上肢关节辅助外骨骼的机械结构,并对上肢进行运动学分析,获得了上肢在提升载荷时的关节运动信息。通过测量装置得到了太空服关节的阻力力矩,通过简化的双连杆动力学模型得到了上肢的总力矩。然后,提出了基于CTC方法的自适应阻抗控制与滑模控制相结合的方法。最后,制作了上肢关节辅助外骨骼机器人样机并进行了测试,实验结果表明,该控制系统可以提高轨迹跟踪效果,消除环境变化的影响。该研究不仅可以帮助宇航员更轻松地完成未来载人航天任务的样品采集任务,还可以为后续主动航天服的研究提供理论基础。
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引用次数: 3
期刊
2020 39th Chinese Control Conference (CCC)
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