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

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Comparative study of fault estimation for 3-DOF helicopter 三自由度直升机故障估计的比较研究
Pub Date : 2020-07-01 DOI: 10.23919/CCC50068.2020.9188775
Mengjie Lu, Xiaoyuan Zhu, Tianzhen Wang
Fault estimation plays an important role in health monitoring as well as fault tolerant control, which can help ensure the reliability and safety of helicopter system. As the helicopter is a typical nonlinear, strong coupling and unstable system, its fault estimation design is challenging. Besides, it is also of great risk and cost to conduct experimental validation of different fault estimation schemes for real helicopter system. Thus, this paper is intended to conduct comparative research of fault estimation for helicopter system with table-mount experimental platform. Based on helicopter’s dynamic model, four observer-based fault estimation approaches are presented, in which Luenberger observer, Kalman filter, unknown input observer, and modified proportional-integral-derivative observer design are adopted separately. For the modified proportional-integral-derivative observer based fault estimation design, measurement noise is specifically considered. Based on Quanser’s 3-DOF helicopter system, both simulation and experimental tests are carried out to show the performance differences of these fault estimation approaches.
故障估计在健康监测和容错控制中起着重要的作用,可以保证直升机系统的可靠性和安全性。直升机是典型的非线性、强耦合和不稳定系统,其故障估计设计具有一定的挑战性。此外,针对真实直升机系统对不同的故障估计方案进行实验验证也存在很大的风险和成本。因此,本文拟采用台式实验平台对直升机系统进行故障估计的比较研究。基于直升机动力学模型,提出了四种基于观测器的故障估计方法,分别采用Luenberger观测器、卡尔曼滤波器、未知输入观测器和改进的比例-积分-导数观测器设计。在改进的基于比例-积分-导数观测器的故障估计设计中,特别考虑了测量噪声。以Quanser的三自由度直升机系统为例,通过仿真和实验验证了这几种故障估计方法的性能差异。
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引用次数: 1
Fractional-order ADRC framework for fractional-order parallel systems 分数阶并行系统的分数阶ADRC框架
Pub Date : 2020-07-01 DOI: 10.23919/CCC50068.2020.9189032
Zongyang Li, Yiheng Wei, Jiachang Wang, Ang Li, Jianli Wang, Yong Wang
This study discusses the control of parallel fractional order systems (FOSs) by the fractional-order active disturbance rejection control (FOADRC) technique. The FOADRC framework for linear FOSs and the necessary conditions for the existence of a stable controller of the system are given. The fractional-order tracking differentiator (FOTD) and the fractional-order extended state observer (FOESO) are introduced. Then, the FOADRC scheme for parallel FOSs is proposed. The effectiveness of the proposed scheme in this study paper is verified by a simulation example.
研究了分数阶自抗扰控制技术对并联分数阶系统的控制。给出了线性自由/自由系统的FOADRC框架和系统存在稳定控制器的必要条件。介绍了分数阶跟踪微分器(FOTD)和分数阶扩展状态观测器(FOESO)。然后,提出了并行自由/开源软件的FOADRC方案。通过仿真算例验证了本文方案的有效性。
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引用次数: 1
Trajectory Data Protection based on Differential Privacy k-means 基于差分隐私k-means的轨迹数据保护
Pub Date : 2020-07-01 DOI: 10.23919/CCC50068.2020.9188564
Qiyuan Xu, Z. Chen, Baochuan Fu, Xue-Jun Shao
Considering that the existing trajectory data protection methods will result in low data availability, this paper considers the characteristics of trajectory data. It proposes a trajectory data protection method that satisfies differential privacy. It not only protects the privacy of the user’s trajectory but also has certain data analyzability. First, with the introduction of the weighted-multi-point judgment method, the infection points in the trajectory are found by setting the threshold of the infection angle. Second, the density of each trajectory point is calculated so as to determine the initial clustering center point. In addition, the privacy protection of the trajectory data is processed with the use of an improved differential privacy k − means method, which improves the availability of the trajectory data on the premise of satisfying the differential privacy. Finally, some numerical experiments are carried out to verify the effectiveness of the method.
考虑到现有的弹道数据保护方法会导致数据可用性低,本文考虑了弹道数据的特点。提出了一种满足差分隐私的轨迹数据保护方法。它既保护了用户轨迹的隐私性,又具有一定的数据可分析性。首先,引入加权多点判断方法,通过设定感染角阈值,找到轨迹上的感染点;其次,计算每个轨迹点的密度,确定初始聚类中心点;此外,采用改进的差分隐私k−means方法对轨迹数据进行隐私保护,在满足差分隐私的前提下提高了轨迹数据的可用性。最后,通过数值实验验证了该方法的有效性。
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引用次数: 0
Finite-time time-varying formation tracking for second-order multi-agent systems with a leader of fully unknown input 具有完全未知输入的二阶多智能体系统的有限时间时变队形跟踪
Pub Date : 2020-07-01 DOI: 10.23919/CCC50068.2020.9189241
Ruiwen Liao, Liang Han, Xiwang Dong, Fei Liu, Qingdong Li, Z. Ren
In this paper, finite-time time-varying formation tracking problems are investigated for second-order multi-agent systems (MAS) over directed topology, where the MAS consist of a leader with fully unknown input and several followers. The followers are required to realize the desired time-varying formation and to track the expected trajectory generated by the leader in finite time simultaneously. The method for solving the finite-time formation tracking problems involves the following steps. First, finite-time observers are designed for each follower, to get the estimated states of the leader. Then, a finite-time formation tracking algorithm is proposed by using the neighboring information. Furthermore, it is proved that the given formation tracking can be accomplished by the MAS in finite time by using the Lyapunov theory. Finally, a numerical example is given to verify the effectiveness of the theoretical results.
研究了有向拓扑上二阶多智能体系统(MAS)的有限时间时变编队跟踪问题,其中MAS由一个输入完全未知的领导者和若干追随者组成。要求follower实现期望的时变队形,同时在有限时间内跟踪leader生成的期望轨迹。求解有限时间地层跟踪问题的方法包括以下步骤。首先,为每个follower设计有限时间观测器,得到leader的估计状态。然后,提出了一种利用相邻信息的有限时间编队跟踪算法。进一步利用李雅普诺夫理论证明了MAS可以在有限时间内完成给定的编队跟踪。最后通过数值算例验证了理论结果的有效性。
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引用次数: 3
Research on Intelligent Vehicle Following Technology Based on UWB 基于超宽带的智能车辆跟随技术研究
Pub Date : 2020-07-01 DOI: 10.23919/CCC50068.2020.9189543
Jing-run Pan, Yi-geng Dou, Xu-dong Huang, Jianhua Xu, Jia-Bin Chen, Ling Xie
Considering the communication interference and occlusion for close following, this paper proposes an intelligent vehicle following method based on Ultra-Wideband (UWB). Based on the characteristics of UWB ranging, we proposed four ranging schemes by combining different base station placement methods and positioning algorithms. We obtained the best method by collecting a large number of distance data from vehicle to beacon and angle data away from the front of the vehicle. Taking the characteristics of vehicle following into account, the deviation between the distance from the vehicle to the beacon and the safety distance is used to control the linear velocity, the angle away from the front of the vehicle is used to control the angular velocity. Finally, in order to test the following method, we carried out tracking experiment, and it is verified that it has good tracing effect under linear, V-shaped and S-shaped tracks.
针对车辆近距离跟随过程中存在的通信干扰和遮挡问题,提出了一种基于超宽带(UWB)的智能车辆跟随方法。根据超宽带测距的特点,结合不同的基站放置方法和定位算法,提出了四种测距方案。我们通过收集大量车辆到信标的距离数据和远离车辆前方的角度数据,得到了最佳的方法。考虑到车辆跟随特性,采用车辆到信标距离与安全距离的偏差来控制线速度,采用远离车辆前方的角度来控制角速度。最后,为了验证以下方法,我们进行了跟踪实验,验证了该方法在线性、v型和s型轨迹下都具有良好的跟踪效果。
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引用次数: 0
An Improved State-Independent Fusion Algorithm Based on the Federated Kalman Filters 一种改进的基于联邦卡尔曼滤波器的状态无关融合算法
Pub Date : 2020-07-01 DOI: 10.23919/CCC50068.2020.9189013
Xuan Xiao, Jiaxin Liu, Chao Xu, Chen Wang
In this paper, an improved optimal fusion algorithm based on independent fusion of states is proposed for federal filter, which can mainly solve the problem that the state with poor estimation accuracy pollutes other states during fusion, which causes the estimation accuracy of the federated filter system to decrease and the convergence rate to slow down. This improves the stability of the federated filter, thereby improving the robustness of the federal filter. Meanwhile, for the problem of complex fusion weighting matrix, large amount of calculation and poor stability in the fusion algorithm proposed by Carlson, the improved fusion algorithm, the improved fusion algorithm can reduce the complexity of fusion, reduce the operation time of the filtering system, and improve the stability of the filtering system.
本文提出了一种改进的基于状态独立融合的联邦滤波器最优融合算法,该算法主要解决了估计精度差的状态在融合过程中污染其他状态,导致联邦滤波器系统估计精度降低、收敛速度减慢的问题。这提高了联邦过滤器的稳定性,从而提高了联邦过滤器的鲁棒性。同时,针对Carlson提出的融合算法存在的融合加权矩阵复杂、计算量大、稳定性差的问题,提出了改进的融合算法,改进的融合算法可以降低融合的复杂性,减少过滤系统的运行时间,提高过滤系统的稳定性。
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引用次数: 0
Standard Formation Generation and Keeping of Unmanned Aerial Vehicles Through a Potential Functional Approach 基于潜在功能方法的无人机标准编队生成与保持
Pub Date : 2020-07-01 DOI: 10.23919/CCC50068.2020.9188802
Huiming Li, Hao Chen, Shaowu Yang, Xiangke Wang
This paper investigates the standard formation generation and keeping problem for multiple fixed-wing unmanned aerial vehicles (UAVs), where a standard formation is defined as the basic shape of UAVs when executing tasks. Firstly, a control law based on the gradient of potential functions is proposed to drive multiple UAVs to form and keep the standard formation, with theoretical analysis showing that the desired collective behaviors can be obtained. The control law is then extended to achieve obstacle avoidance by taking the virtual repulsion strategy into account. Numerical simulations are finally provided, verifying the effectiveness of the proposed strategy.
本文研究了多架固定翼无人机的标准编队生成与保持问题,其中标准编队定义为无人机执行任务时的基本形状。首先,提出了一种基于势函数梯度的控制律,驱动多架无人机形成并保持标准编队,理论分析表明,该控制律可以获得期望的集体行为;然后将控制律扩展到考虑虚拟斥力策略的避障。最后进行了数值仿真,验证了所提策略的有效性。
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引用次数: 3
Modeling and Simulation of Detonation Wave Based on Mine Protected Seat Test 基于防护座试验的爆震波建模与仿真
Pub Date : 2020-07-01 DOI: 10.23919/CCC50068.2020.9188982
Jia Ren, Xiaochuan Liu, Jianbo Yang
Drop test of the mine protected seat is the process of simulating the explosion shock waveform by drop test platform. And it plays an important role in the stage of seat development, design optimization, stereotype and mass production. So, the waveform simulated method for the mine protected seat drop test is proposed in this article to simulating the detonation wave, and the identification method of designing and debugging the waveform generator elastic material is established here. In this article, waveform design principle and modeling method are given based on the specific test process, and the debugging and correction method of waveform are given based on the actual test data. The methods are used in multiple tests. At last, combined with the specific test, the process of design and debugging frequently problems in actual test are given. The results are shown that the technology of explosion shock waveform modeling and simulation shown in this article is effective and useful.
矿井保护座跌落试验是利用跌落试验平台模拟爆炸冲击波形的过程。在座椅开发、设计优化、定型、量产等阶段发挥着重要作用。为此,本文提出了矿井防护座跌落试验的波形模拟方法来模拟爆震波,并建立了波形发生器弹性材料设计与调试的识别方法。本文根据具体的试验过程给出了波形的设计原理和建模方法,并根据实际试验数据给出了波形的调试和校正方法。这些方法在多个测试中使用。最后,结合具体的测试,给出了设计调试过程和实际测试中常见的问题。结果表明,本文提出的爆炸冲击波形建模与仿真技术是有效的、有用的。
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引用次数: 0
Ultra-short-term Interval Prediction of Wind Farm Cluster Power Based on LASSO 基于LASSO的风电场集群功率超短期区间预测
Pub Date : 2020-07-01 DOI: 10.23919/CCC50068.2020.9188556
Yan Zhou, Yonghui Sun, Sen Wang, Dognchen Hou, Linchuang Zhang
Efficient and accurate power prediction of wind farm cluster is an effective method to improve the safety and reliability of power system for large-scale wind power. In this paper, the probabilistic prediction model of regional wind power is studied. The nonparametric method based on least absolute shrinkage and selection operator (LASSO) is used for the ultra-short-term probabilistic prediction. In this paper, the prediction model of nonlinear quantile regression (NQR) model based on quantile regression (QR) and extreme learning machine (ELM) is studied. Then, LASSO is utilized to shrink the output weights for the sparsity. The penalty of LASSO can prevent the overfitting and improve the performance of prediction intervals (PIs), without the reduction of computational efficiency. With the actual dataset of the wind farms in northeast China, the PIs performance is verified, compared with other well-established benchmarks.
高效、准确的风电场集群功率预测是提高大型风电系统安全可靠性的有效手段。本文研究了区域风力发电的概率预测模型。采用基于最小绝对收缩和选择算子(LASSO)的非参数方法进行超短期概率预测。研究了基于分位数回归(QR)和极限学习机(ELM)的非线性分位数回归(NQR)模型预测模型。然后,利用LASSO来缩小输出权值以达到稀疏性。LASSO的惩罚可以在不降低计算效率的前提下防止过拟合,提高预测区间的性能。利用东北风电场的实际数据集,与其他成熟的基准进行比较,验证了PIs的性能。
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引用次数: 0
Decentralized Event-Triggered Control for Switched Systems Under Stochastic Cyber Attacks and Actuator Failures 随机网络攻击和执行器故障下的分散事件触发控制
Pub Date : 2020-07-01 DOI: 10.23919/CCC50068.2020.9189023
Xiujuan Zhao, Yiwen Qi, Shuo Yuan, Xindi Xu, Yiwen Tang
This paper studies the decentralized event-triggered ${{mathcal{H}}_infty }$ control for networked switched systems subject to stochastic cyber attacks and actuator failures. First, since the system state is divided into multiple communication channels, decentralized states are sampled and triggered, respectively. A set of decentralized event-triggering mechanisms (DETMs) is introduced to determine whether the sampled data is released. Subsequently, a data buffer merges the released data from decentralized triggering mechanisms. Stochastic cyber attacks and actuator failures are taken into account for a more practical situation. By using a delay system analysis approach, a time-delay closed-loop switched system is derived. Then, sufficient conditions are provided to guarantee ${{mathcal{H}}_infty }$ performance of switched system by utilizing piecewise Lyapunov functional method and average dwell time technique. Moreover, sufficient conditions for designing event-triggered state feedback controllers and event-triggering parameters are given. Finally, a numerical simulation is shown to verify the effectiveness of the proposed method.
研究了受随机网络攻击和执行器故障影响的网络化交换系统的分散事件触发${{mathcal{H}}_infty }$控制。首先,由于系统状态被划分为多个通信通道,分散的状态分别被采样和触发。引入了一组分散的事件触发机制(detm)来确定采样数据是否被释放。随后,数据缓冲区合并来自分散触发机制的释放数据。在更实际的情况下,考虑了随机网络攻击和执行器故障。利用时滞系统分析方法,推导了一个时滞闭环切换系统。然后利用分段Lyapunov泛函方法和平均停留时间技术,给出了保证切换系统${{mathcal{H}}_infty }$性能的充分条件。给出了设计事件触发状态反馈控制器和事件触发参数的充分条件。最后,通过数值仿真验证了所提方法的有效性。
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引用次数: 2
期刊
2020 39th Chinese Control Conference (CCC)
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