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

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Observer-based Model Predictive Control Design for Air Supply System of Automotive PEM Fuel Cells 基于观测器的车用PEM燃料电池送风系统模型预测控制设计
Pub Date : 2020-07-01 DOI: 10.23919/CCC50068.2020.9188663
Weihai Jiang, Zhongwen Zhu, Cheng Li, Zhang Cheng, Zichen Zheng
The air supply system control strategy is a significant challenge issue of PEM(Polymer Electrolyte Membrane) fuel cells. In this paper, an observer-based model predictive control scheme is proposed for oxygen excess ratio control to avoid the oxygen starvation without using physical sensor of oxygen excess ratio based on a nonlinear dynamic model. Firstly, a sliding mode PI observer is proposed to estimate the cathode pressure and oxygen excess ratio, and the convergence is also discussed by a constructed Lyapunov function. Then, the observer-based model predictive controller is designed for the oxygen excess ratio control. Finally, the simulation validation is demonstrated to validate the effectiveness of the proposed observer and the control scheme by a high fidelity model.
供气系统控制策略是聚合物电解质膜燃料电池的一个重要课题。本文提出了一种基于观测器的模型预测控制方案,在不使用基于非线性动态模型的物理氧过量比传感器的情况下,实现了氧过量比控制,避免了氧饥饿。首先,提出了一种滑模PI观测器来估计阴极压力和氧过剩比,并利用构造的Lyapunov函数讨论了其收敛性。然后,设计了基于观测器的模型预测控制器,用于氧过剩比的控制。最后,通过仿真验证,通过高保真度模型验证了所提出观测器和控制方案的有效性。
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引用次数: 0
H∞ Control for Markovian Jump Systems with Partly Known Transition Probabilities in Discrete-time Domain 离散域部分已知跃迁概率马尔可夫跳跃系统的H∞控制
Pub Date : 2020-07-01 DOI: 10.23919/CCC50068.2020.9188576
Hui‐Jie Sun, A. Wu, Can Liu
In this paper, the H∞ controller design problem is investigated for the discrete-time Markovian jump linear system in the presence of incomplete transition descriptions. A less conservative criterion is presented such that the considered system is stochastically stable with a guaranteed H∞ performance index by using the properties of the transition probabilities. In addition, a H∞ state-feedback controller is proposed for the discrete-time Markovian jump system with incomplete transition description via LMI formulation. Finally, some simulation results are given to verify the effectiveness of the presented methods.
研究了存在不完全跃迁描述的离散马尔可夫跳变线性系统的H∞控制器设计问题。利用转移概率的性质,给出了一个较保守的判据,使得所考虑的系统具有保证H∞性能指标的随机稳定。此外,针对具有不完全跃迁描述的离散马尔可夫跳变系统,利用LMI公式提出了一种H∞状态反馈控制器。最后给出了仿真结果,验证了所提方法的有效性。
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引用次数: 0
A Novel Robust Kalman Filter for Unmanned Ground Vehicles Positioning under GNSS Abnormal Measurements GNSS异常测量下无人地面车辆定位的鲁棒卡尔曼滤波
Pub Date : 2020-07-01 DOI: 10.23919/CCC50068.2020.9189178
Zhang Yin, M. Fu, Kai Shen
For unmanned ground vehicles (UGV), reliable and precise navigation solution is a main challenge in complex environment, especially when measurements of global navigation satellite system (GNSS) are abnormal. In order to address this challenge, we propose an algorithmic solution strategy and present a novel robust Kalman filter for UGV positioning via fusing information from GNSS and inertial navigation system (INS). Firstly, we review the positioning requirements of UGVs by analyzing the technical needs of continuously determining a vehicle’s location on road and precise navigation of lane level. Secondly, a new robust algorithm of Kalman filter is designed to reduce the positioning errors of GNSS/INS integrated navigation system when GNSS signals are abnormal. Thirdly, the application of the proposed algorithm to UGV positioning is illustrated. Simulation results with real data sets gathered from road tests show that the new robust filter can help us to evaluate the information quality of measurement, and can further autonomously adjust the Kalman gain and error covariance estimation matrices online. As a result, the accuracy and robustness of integrated navigation with the new filter can be improved in GNSS-challenged environments.
对于无人驾驶地面车辆(UGV)来说,在复杂环境下,特别是在全球卫星导航系统(GNSS)测量异常的情况下,可靠、精确的导航解决方案是一个主要挑战。为了解决这一问题,我们提出了一种算法解决策略,并通过融合GNSS和惯性导航系统(INS)的信息,提出了一种新的鲁棒Kalman滤波器用于UGV定位。首先,通过分析连续确定车辆在道路上的位置和车道水平精确导航的技术需求,回顾了ugv的定位需求。其次,设计了一种新的鲁棒卡尔曼滤波算法,减小GNSS/INS组合导航系统在GNSS信号异常情况下的定位误差;最后,给出了该算法在UGV定位中的应用。实际路试数据的仿真结果表明,该鲁棒滤波器能够帮助我们评估测量的信息质量,并能进一步在线自主调整卡尔曼增益和误差协方差估计矩阵。因此,在gnss挑战的环境下,新滤波器可以提高组合导航的精度和鲁棒性。
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引用次数: 0
LMI based stability and stabilization for uncertain T-S fuzzy fractional order systems 基于LMI的不确定T-S模糊分数阶系统的稳定性与镇定
Pub Date : 2020-07-01 DOI: 10.23919/CCC50068.2020.9188948
Xuefeng Zhang, Yangyang Liu
Stability and stabilization issues are fundamental to uncertain fuzzy systems, especially fuzzy system with fractional order. Based on the new linear matrix inequality (LMI) criteria of stability and stabilization of fractional order systems, this paper proposes criteria of stability and stabilization for uncertain Takagi-Sugeno (T-S) fuzzy fractional order systems. Through the new criteria in terms of LMI, two kinds of controllers are designed. One method is to design the different controllers for each sub-systems and another is to design the same controller for different sub-systems. The new controllers design methods are more effective and less conservative than the existing results and decrease the complexity of controllers and save the cost. Two numerical simulation examples are provided to illustrate the effectiveness of the proposed method.
稳定性和镇定问题是不确定模糊系统,特别是分数阶模糊系统的基本问题。基于分数阶系统稳定与镇定的线性矩阵不等式(LMI)新判据,提出了不确定Takagi-Sugeno (T-S)模糊分数阶系统的稳定与镇定判据。根据LMI的新准则,设计了两种控制器。一种方法是为每个子系统设计不同的控制器,另一种方法是为不同的子系统设计相同的控制器。新的控制器设计方法比现有的设计方法更有效,保守性更低,降低了控制器的复杂度,节约了成本。最后给出了两个数值仿真实例,验证了该方法的有效性。
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引用次数: 0
Neural Style Transfer for Picture with Gradient Gram Matrix Description 基于梯度格矩阵描述的图像神经风格迁移
Pub Date : 2020-07-01 DOI: 10.23919/CCC50068.2020.9188652
Heng Jin, Tian Wang, Mengyi Zhang, Mingmin Li, Yan Wang, H. Snoussi
Despite the high performance of neural style transfer on stylized pictures, we found that Gatys et al [1] algorithm cannot perfectly reconstruct texture style. Output stylized picture could emerge unsatisfied unexpected textures such like muddiness in local area and insufficient grain expression. Our method bases on original algorithm, adding the Gradient Gram description on style loss, aiming to strengthen texture expression and eliminate muddiness. To some extent our method lengthens the runtime, however, its output stylized pictures get higher performance on texture details, especially in the elimination of muddiness.
尽管神经风格迁移在风格化图片上表现优异,但我们发现Gatys等[1]算法不能完美地重建纹理风格。输出的程式化图像会出现局部浑浊、纹理表达不足等不满意的意外纹理。该方法在原有算法的基础上,增加了对风格损失的梯度图描述,旨在增强纹理表达,消除浑浊。我们的方法在一定程度上延长了运行时间,但其输出的风格化图片在纹理细节上得到了更高的性能,特别是在消除模糊方面。
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引用次数: 2
Research on Robot Teaching for Complex Task 复杂任务机器人教学研究
Pub Date : 2020-07-01 DOI: 10.23919/CCC50068.2020.9189538
Lingtao Huang, Jinsong Yang, Shui Ni, Bin Wang, Hongyan Zhang
As the traditional teaching technology can not meet the requirements of complex teaching tasks, this paper studies the direct teaching technology of robots based on the force sensor's gravity compensation and admittance control. Through the gravity compensation of the force sensor, the influence of the gravity of the robot end tool, the installation tilt angle of the robot base and the zero point of the force sensor on the force sensor is reduced, and the teaching accuracy is improved. Using the admittance control principle, the robot can move according to the traction of the teaching staff, and regularly record the teaching points in the process to form the teaching trajectory. Finally, a direct teaching system was established, and the proposed gravity compensation algorithm and direct teaching algorithm were experimentally verified. The experimental results show that the proposed gravity compensation algorithm can achieve better compensation effect. The direct teaching algorithm based on admittance control can simplify the teaching process and complete complex teaching tasks.
针对传统教学技术无法满足复杂教学任务的要求,本文研究了基于力传感器重力补偿和导纳控制的机器人直接教学技术。通过力传感器的重力补偿,减小了机器人端刀重力、机器人底座安装倾斜角度和力传感器零点对力传感器的影响,提高了教学精度。利用导纳控制原理,机器人可以根据教学人员的牵引进行运动,并定期记录过程中的教学点,形成教学轨迹。最后,建立了直接教学系统,并对重力补偿算法和直接教学算法进行了实验验证。实验结果表明,所提出的重力补偿算法能取得较好的补偿效果。基于导纳控制的直接教学算法可以简化教学过程,完成复杂的教学任务。
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引用次数: 2
Comparative Study on LADRC and NLADRC of VGT-EGR System in Diesel Engine 柴油机VGT-EGR系统LADRC与NLADRC的比较研究
Pub Date : 2020-07-01 DOI: 10.23919/CCC50068.2020.9189010
Pingyue Zhang, Jingyu Zhang, Xianwei Du, Hao Xia, Yuhu Wu
In this paper, linear active disturbance rejection controller and nonlinear active disturbance rejection controller are designed for variable geometry turbine (VGT) and exhaust gas recirculation (EGR) system in diesel engine. The double-input double-output (DIDO) VGT-EGR system is designed as two single-input single-output (SISO) systems, in which the cross-coupling and unmodelled dynamics are considered as disturbances and decoupled through estimation and compensation. Through simulation, it is indicated that nonlinear active disturbance rejection controller has better tracking performance, disturbance resistance performance and robustness.
针对柴油机变几何涡轮(VGT)和废气再循环(EGR)系统,设计了线性自抗扰控制器和非线性自抗扰控制器。将双输入双输出(DIDO) VGT-EGR系统设计为两个单输入单输出(SISO)系统,将交叉耦合和未建模动力学视为干扰,并通过估计和补偿进行解耦。仿真结果表明,非线性自抗扰控制器具有较好的跟踪性能、抗扰性能和鲁棒性。
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引用次数: 3
Spacecraft self- and soft-docking control approach with electromagnetic/magnetic flux-pinning synergy 电磁/磁通量钉钉协同作用下航天器自与软对接控制方法
Pub Date : 2020-07-01 DOI: 10.23919/CCC50068.2020.9189625
Yuan‐wen Zhang, Le-ping Yang, Yanwei Zhu
Spacecraft docking controlled by inter-craft electromagnetic fields actuation not only hasn’t propellant consumption and plume contamination, but also provides high-precision control capability of continuous, reversible, synchronous and non-contacting. In addition, with electromagnetic/magnetic flux-pinning synergy, spacecraft docking has 6-DOF passive stability, stiffness and damping effect. This paper deals with the optimized electromagnetic moment design for magnetic flux-pinning and the handover control approach between the two actuation phases. Finally, several numerical simulations are utilized to verify the theoretical design.
飞船间电磁场驱动控制飞船对接不仅不消耗推进剂,不污染羽流,而且具有连续、可逆、同步、非接触的高精度控制能力。此外,在电磁/磁通量钉钉协同作用下,航天器对接具有六自由度被动稳定性、刚度和阻尼效应。本文研究了磁通钉销的优化磁矩设计和两驱动相的切换控制方法。最后,通过数值模拟对理论设计进行了验证。
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引用次数: 2
On Iterative Solutions of Periodic Sylvester Matrix Equations 周期Sylvester矩阵方程的迭代解
Pub Date : 2020-07-01 DOI: 10.23919/CCC50068.2020.9189116
Zebin Chen, Xuesong Chen
We propose a gradient based iterative algorithm with multiple iterative factors (MGI) to find the solutions of the Sylvester discrete-time periodic matrix equations AjXj + Xj+1Bj = Cj(j = 1, 2,⋯, T ). It is proved that the exact solution of the periodic matrix equations can be converged by the MGI method for any initial matrices. Then, we study the optimal convergence rate of gradient based iterative algorithm with single iterative factor (SGI). Nextly, we compare the convergence rate of the two algorithms, and find that MGI is faster than SGI when the appropriate convergence factors μj are selected. Finally, a numerical example is given to verify that MGI is superior to SGI in both speed and iterative steps.
我们提出了一种基于梯度的多迭代因子(MGI)迭代算法,用于寻找Sylvester离散周期矩阵方程AjXj + Xj+1Bj = Cj(j = 1,2,⋯T)的解。证明了周期矩阵方程的精确解可以用MGI方法收敛于任何初始矩阵。然后,研究了单迭代因子梯度迭代算法的最优收敛速度。然后比较了两种算法的收敛速度,发现当选择合适的收敛因子μj时,MGI算法比SGI算法更快。最后给出了数值算例,验证了MGI在速度和迭代步骤上都优于SGI。
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引用次数: 0
A Hybrid PID Controller for Flexible Joint Manipulator Based on State Observer and Singular Perturbation Approach 基于状态观测器和奇异摄动方法的柔性关节机械臂混合PID控制器
Pub Date : 2020-07-01 DOI: 10.23919/CCC50068.2020.9189446
M. Hong, W. Yao, Zhihao Zhu, Yu Guo
To resolve the problems concerning with vibration suppression and position tracking of flexible joint manipulator system without link velocities information, a hybrid PID controller based on singular perturbation and state observer is presented. In order to estimate the velocities of links, a state observer is adopted instead of extra speed sensors on the link side. Singular perturbation theory is employed to decouple the system into a fast subsystem and a slow subsystem. For the fast subsystem, a PD controller which can damp out the vibration of flexible joints is designed. For the slow subsystem, a hybrid PID controller is proposed to realize desired position tracking. The effectiveness of the proposed control scheme is illustrated by theoretical analysis and simulation results.
为解决无关节速度信息的柔性关节机械臂系统的振动抑制和位置跟踪问题,提出了一种基于奇异摄动和状态观测器的混合PID控制器。为了估计链路的速度,采用状态观测器代替链路侧额外的速度传感器。采用奇异摄动理论将系统解耦为一个快子系统和一个慢子系统。对于快速子系统,设计了一种PD控制器来抑制柔性关节的振动。对于慢速子系统,提出了一种混合PID控制器来实现理想的位置跟踪。理论分析和仿真结果验证了所提控制方案的有效性。
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引用次数: 3
期刊
2020 39th Chinese Control Conference (CCC)
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