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Multi-Sensor Data Fusion For Civil Aircraft IRS/GPS/ILS Integrated Navigation System 民用飞机IRS/GPS/ILS组合导航系统的多传感器数据融合
Pub Date : 2021-06-29 DOI: 10.23919/ecc54610.2021.9654984
S. Ifqir, C. Combastel, A. Zolghadri, G. Alcalay, P. Goupil, Samuel Merlet
The problem studied in this paper is that of multi-sensor data-fusion for aircraft navigation during approach and landing. Three different sensor groups, namely, Inertial Reference System (IRS), Global Positioning System (GPS) and Instrument Landing System (ILS) are used complementarily to estimate aircraft 3D position in the final approach stage. The methodology takes advantage of set-membership tools and paves the way toward a new and simple online tuning of merging filter. The effectiveness of the proposed scheme is evaluated in terms of validity and accuracy using real flight data provided by Airbus.
本文研究的是飞机进近和着陆过程中多传感器导航数据融合问题。在最后进近阶段,利用惯性参考系统(IRS)、全球定位系统(GPS)和仪表着陆系统(ILS)三种不同的传感器组互补估计飞机三维位置。该方法利用集合隶属度工具,为一种新的简单的在线调整合并滤波器铺平了道路。利用空中客车公司提供的真实飞行数据,从有效性和准确性两方面对所提方案的有效性进行了评价。
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引用次数: 2
Adaptive Regulation Problem for Linear Systems with State, Input and Output Delays * 具有状态、输入和输出延迟的线性系统的自适应调节问题*
Pub Date : 2021-06-29 DOI: 10.23919/ecc54610.2021.9654921
A. V. Paramonov, D. Gerasimov, V. Nikiforov
This paper concerns the problem of simultaneous adaptive compensation of external unmatched disturbance and output reference tracking for linear time-invariant (LTI) systems with state, input, and output delays. The external disturbance and the reference signal are considered as multi-harmonic signals with unknown frequencies, amplitudes, and initial phases. The disturbance is unmeasurable and affects both the input and the output of the plant. The solution to the problem is based on technique of direct adaptive control without identification of the disturbance and reference signal parameters (biases, frequencies, phases, and amplitudes). This solution contains observers of parameterized disturbance and reference signal, a special modification of augmented error model and a direct adjustable controller providing asymptotic convergence of the tracking error to zero.
研究了具有状态、输入和输出延迟的线性时不变系统的外部不匹配干扰的同时自适应补偿和输出参考跟踪问题。外部干扰和参考信号被认为是频率、幅度和初始相位未知的多谐信号。这种扰动是不可测量的,同时影响系统的输入和输出。该问题的解决方案是基于直接自适应控制技术,而不需要识别干扰和参考信号参数(偏差、频率、相位和幅度)。该方案包含参数化扰动和参考信号的观测器、增广误差模型的特殊修正和直接可调控制器,使跟踪误差渐近收敛于零。
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引用次数: 0
Economic control of hybrid energy systems composed of wind turbine and battery 风力发电机与蓄电池混合能源系统的经济控制
Pub Date : 2021-06-29 DOI: 10.23919/ECC54610.2021.9654911
A. Anand, Stefan Loew, C. Bottasso
An Economic Nonlinear Model Predictive Controller (ENMPC) is designed for a wind turbine and battery based hybrid energy system. An explicit consideration of cyclic damages within the controller is implemented via externalization of Rainflow based cycle counting (RFC) algorithm from the Model Predictive Controller (MPC). This is achieved using Parametric Online Rainflow counting (PORFC) approach. Additionally, impact of stress history is considered directly inside the optimization problem by employing a stress residue which also helps overcome the limitation of using shorter horizon for cyclic damage estimation. The designed MPC controller is implemented using the state-of-the-art ACADOS framework. The performance of the controller is assessed in closed loop with a hybrid plant model consisting of a NREL 5MW onshore wind turbine and a 1MWh/1MW Li-ion battery. Simulation output indicates that the formulated controller results in profit gain with respect to a realistic base-case controller. Moreover, the formulated controller is found to conveniently handle model complexities, non-linearities, and system constraints resulting in suitable dynamic performance. An economically optimal closed-loop operation of the grid-connected hybrid plant is achieved, where the controller, using PORFC algorithm, optimizes a realistic monetary objective while explicitly considering the requirements from the electricity grid.
针对基于风力机和电池的混合能源系统,设计了一种经济型非线性模型预测控制器。通过外部化模型预测控制器(MPC)的基于雨流的循环计数(RFC)算法,控制器内明确考虑了循环损伤。这是使用参数在线雨流计数(PORFC)方法实现的。此外,在优化问题中直接考虑了应力历史的影响,采用了应力残余,这也有助于克服使用较短视界进行循环损伤估计的局限性。所设计的MPC控制器使用最先进的ACADOS框架实现。控制器的性能在一个由NREL 5MW陆上风力涡轮机和1MWh/1MW锂离子电池组成的混合电厂模型中进行闭环评估。仿真结果表明,所制定的控制器相对于现实的基本情况控制器具有利润增益。此外,该控制器可以方便地处理模型复杂性、非线性和系统约束,从而获得合适的动态性能。实现了并网混合电厂的经济最优闭环运行,其中控制器使用PORFC算法在明确考虑电网要求的同时优化了现实的货币目标。
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引用次数: 2
Random coordinate descent methods for non-separable composite optimization 不可分复合优化的随机坐标下降法
Pub Date : 2021-06-29 DOI: 10.23919/ecc54610.2021.9655067
Liliana Maria Ghinea, I. Necoara, M. Barbu
In this paper we consider composite optimization problems having the objective function formed as a sum of two terms, one has Lipschitz continuous gradient and another is differentiable but non-separable. Under these settings we design two random coordinate descent methods, one takes into account the composite form of the objective function, while the other algorithm disregards the composite form of the objective function yielding a random coordinate gradient descent scheme with a novel stepsize rule. Our methods are able to tackle both convex and non-convex problems. For these algorithms we also show that they are descent methods in expectation. Preliminary numerical results confirm the efficiency of our two algorithms.
本文考虑目标函数为两项和的复合优化问题,其中一项具有Lipschitz连续梯度,另一项是可微但不可分的。在此条件下,设计了两种随机坐标下降算法,一种考虑了目标函数的复合形式,另一种算法忽略了目标函数的复合形式,产生了一种具有新颖步长规则的随机坐标梯度下降方案。我们的方法能够同时处理凸和非凸问题。对于这些算法,我们也证明了它们在期望上是下降方法。初步的数值结果证实了这两种算法的有效性。
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引用次数: 0
Development and evaluation of a straightforward method to identify the elastic structure of a lightweight robot 轻型机器人弹性结构直接识别方法的开发与评价
Pub Date : 2021-06-29 DOI: 10.23919/ecc54610.2021.9655052
Lovis Phlippen, Manuel Vossel, M. Fuente, K. Radermacher
Lightweight serial robots are highly suitable for tasks with human interaction. The low mass contributes to inherent safety properties due to lower inertial forces and torques. However, the slender structure makes such robots more compliant, which leads to higher deflections under load. This work introduces a straightforward method to identify the elastic parameters of a lightweight robot. The virtual joint method was used for elastostatic modelling of the robot. For the parameter identification process a set of robot poses was defined by a combination of two different angular positions for each of the seven joints. At each pose the robot was deformed by using a constant load and the resulting deflection was measured using an optical 3D localizer. Based on this data the unknown parameters of the elastostatic model were calculated. Finally, the accuracy of the elastostatic model was evaluated by implementing a compliance error compensation algorithm. Experimental evaluation with a loaded robot in a set of application oriented poses show an average improvement of the static position accuracy of about 65 %. The largest uncompensated deflection was 9.4 mm at a load of 20 N which could be compensated to 0.9 mm.
轻型串行机器人非常适合人类互动的任务。由于较低的惯性力和扭矩,低质量有助于固有的安全特性。然而,细长的结构使这种机器人更加柔顺,从而导致在负载下产生更高的挠度。本文介绍了一种确定轻型机器人弹性参数的简单方法。采用虚拟关节法对机器人进行了弹静力学建模。在参数识别过程中,机器人的姿态由七个关节的两个不同角度位置的组合来定义。在每个姿态下,机器人通过恒定载荷进行变形,并使用光学3D定位器测量产生的挠度。在此基础上,计算了弹性静力模型的未知参数。最后,采用柔度误差补偿算法对弹性静力模型的精度进行了评价。在一组面向应用的姿态下,装载机器人的实验评估表明,该方法平均提高了约65%的静态位置精度。在20 N载荷下,未补偿的最大挠度为9.4 mm,可补偿至0.9 mm。
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引用次数: 0
Distributed Solution of MIQP Problems Arising for Networked Systems with Coupling Constraints 耦合约束下网络系统MIQP问题的分布式解
Pub Date : 2021-06-29 DOI: 10.23919/ecc54610.2021.9654996
Zonglin Liu, O. Stursberg
This paper introduces a scheme for distributed solution for mixed-integer quadratic programming (MIQP) problems, which stem from, e.g., optimal control problems of networked systems involving hybrid dynamics. The centralized solution of this class of problem is often very complicated due to the NP-hard nature of MIQP, especially when a larger number of subsystems is to be considered. The proposed distributed solution is carried out sequentially by employing different stages, each of which uses one optimality condition formulated for the MIQP problem. These conditions guide the decomposition and the solution process, so that the overall complexity is reduced significantly compared to the centralized solution. Efficiency with respect to computation times and performance is confirmed by a set of numerical examples.
本文介绍了混合整数二次规划(MIQP)问题的一种分布式求解方案,该问题源于涉及混合动力学的网络系统的最优控制问题。由于MIQP的NP-hard性质,这类问题的集中解决方案通常非常复杂,特别是当要考虑大量子系统时。所提出的分布式解决方案通过采用不同的阶段来顺序执行,每个阶段使用为MIQP问题制定的一个最优性条件。这些条件指导分解和解决过程,因此与集中式解决方案相比,总体复杂性大大降低。通过一组数值算例验证了该方法在计算次数和性能方面的有效性。
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引用次数: 0
Pareto suboptimal H∞ controls with transients 具有瞬态的Pareto次优H∞控制
Pub Date : 2021-06-29 DOI: 10.23919/ecc54610.2021.9654973
D. Balandin, R. Biryukov, M. Kogan
In this paper, we consider multi-objective mini-max problems with criteria being maxima of functionals. We determine a domain in the criteria space containing Pareto optimal points. The upper boundary of this domain corresponds to Pareto suboptimal solutions minimizing maxima of weighted sums of these functionals, while the lower one is computed using the same Pareto suboptimal solutions. This domain allows to evaluate a "proximity" of any solutions of the multi-objective problem to Pareto optimal solutions, which minimize weighted sums of the criteria. The proposed approach is applied to multi-objective control designs for continuous and discrete LTV systems and LTI systems over finite and infinite time horizons, respectively. The criteria used are H∞ norms with transients for several controlled outputs. Pareto suboptimal controls in such problems turn out to be H∞ controls with transients for combined outputs. State feedback gains of these controllers are computed in terms of solutions to differential or difference LMIs. Numerical example illustrates the theoretical results.
本文考虑以泛函的最大值为准则的多目标极小极大问题。我们在标准空间中确定了一个包含帕累托最优点的区域。该域的上界对应于这些泛函的加权和的最大值最小化的帕累托次优解,而下界是使用相同的帕累托次优解计算的。该域允许评估多目标问题的任何解与Pareto最优解的“接近度”,该解使标准的加权和最小化。所提出的方法分别应用于有限和无限时间范围内连续和离散LTV系统以及LTI系统的多目标控制设计。所使用的判据是若干受控输出的具有瞬态的H∞规范。这类问题中的Pareto次优控制是具有组合输出瞬态的H∞控制。这些控制器的状态反馈增益是根据微分或差分lmi的解来计算的。数值算例对理论结果进行了验证。
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引用次数: 0
Internal Boundary Control of Lane-free Automated Vehicle Traffic using a Linear Quadratic Integral Regulator 基于线性二次积分调节器的无车道自动车辆交通内边界控制
Pub Date : 2021-06-29 DOI: 10.23919/ecc54610.2021.9654979
M. Malekzadeh, I. Papamichail, M. Papageorgiou
Lane-free traffic has been recently proposed for connected automated vehicles (CAV). As incremental changes of the road width in lane-free traffic lead to corresponding incremental changes of the traffic flow capacity, the concept of internal boundary control can be used to optimize infrastructure utilization. Internal boundary control leads to flexible sharing of the total road width and capacity among the two traffic directions (of a highway or an arterial) in real-time, in response to the prevailing traffic conditions. A feedback-based Linear-Quadratic regulator with Integral action (LQI regulator) is appropriately developed in this paper to efficiently address this problem. Simulation investigations, involving a realistic highway stretch, demonstrate that the proposed simple LQI regulator is robust and very efficient.
无车道交通最近被提出用于连接自动驾驶汽车(CAV)。由于无车道交通中道路宽度的增量变化导致相应的交通流量增量变化,因此可以使用内部边界控制的概念来优化基础设施的利用。内部边界控制导致两个交通方向(高速公路或主干道)之间实时灵活地共享总道路宽度和容量,以响应当前的交通状况。针对这一问题,本文提出了一种基于反馈的积分作用线性二次型调节器(LQI调节器)。仿真研究表明,所提出的简单LQI调节器具有鲁棒性和高效率。
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引用次数: 0
Experimental Evaluation of a Novel Approach to Cooperative Control of Multiple Robots with Artificial Potential Fields 具有人工势场的多机器人协同控制新方法的实验评价
Pub Date : 2021-06-29 DOI: 10.23919/ECC54610.2021.9654958
Alexander Schwab, Florian Littek, J. Lunze
This paper presents a novel approach to the networked control of differentially driven robots using artificial potential fields. A set of multiple robots is considered, where each robot should travel to its individual destination while avoiding collisions with other robots. The transition to the individual destination is carried out cooperatively based on information that can be gathered with the communication network. The novelty of the presented solution lies in the deduction of the orientation control. It will be shown that the maximisation of the translatory velocity results in the robots to turn correctly to their destinations. The effectiveness of the proposed approach is demonstrated by experimental results.
提出了一种利用人工势场对差分驱动机器人进行网络化控制的新方法。考虑一组多个机器人,其中每个机器人都应该在避免与其他机器人碰撞的情况下前往其单独的目的地。到单个目的地的过渡是基于通信网络可以收集到的信息协同进行的。该方法的新颖之处在于对方向控制的推导。它将显示,平移速度的最大化导致机器人正确转向他们的目的地。实验结果证明了该方法的有效性。
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引用次数: 3
An Adaptive Observer approach to Slip Estimation for Agricultural Tracked Vehicles 基于自适应观测器的农用履带车辆滑移估计
Pub Date : 2021-06-29 DOI: 10.23919/ecc54610.2021.9654998
Roberto Tazzari, I. Azzollini, L. Marconi
The paper deals with autonomous Unmanned Ground Vehicles developed for precision agriculture contexts. The focus of the paper is on the design of an adaptive observer for slip estimation ensuring exponential convergence to the real slip coefficients. Uniform global exponential stability of the origin of the error system is shown via Lyapunov analysis and persistency of excitation arguments. Furthermore, robustness to additive perturbations is shown in terms of Input-to-State Stability. Experimental results validate the effectiveness of the proposed estimator even in presence of noisy measurements.
本文讨论了为精准农业环境开发的自主无人地面车辆。本文的重点是设计一种自适应观测器用于滑移估计,以确保指数收敛于实际滑移系数。通过李雅普诺夫分析和激励参数的持续性证明了误差系统原点的全局指数稳定性。此外,从输入到状态稳定性的角度显示了对加性扰动的鲁棒性。实验结果验证了该估计器在存在噪声测量的情况下的有效性。
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引用次数: 4
期刊
2021 European Control Conference (ECC)
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