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2019 24th International Conference on Methods and Models in Automation and Robotics (MMAR)最新文献

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Interval Observer-Based Controller Design for Systems with State Constraints: Application to Solid Oxide Fuel Cells Stacks 基于区间观测器的状态约束系统控制器设计:在固体氧化物燃料电池堆中的应用
S. Ifqir, A. Rauh, Julia Kersten, D. Ichalal, N. A. Oufroukh, S. Mammar
For many practical applications, it is necessary to design controllers that are, one the one hand, robust against bounded uncertainty in selected parameters and external disturbances. On the other hand, it is also quite common for such systems, that state constraints need to be accounted for which must not be exceeded for any possible parameter value. Although the task is quite challenging, several robust control design procedures were designed in recent years which allow for solving these problems, especially with respect to the latter aspect. In this paper, such robust control procedures are combined in a novel manner with an interval observer to additionally handle the influence of unknown but bounded measurement noise and to prevent the violation of state constraints in a provable fashion.
对于许多实际应用,有必要设计控制器,一方面,对所选参数和外部干扰的有界不确定性具有鲁棒性。另一方面,对于这样的系统也很常见,需要考虑任何可能的参数值都不能超过的状态约束。虽然这项任务相当具有挑战性,但近年来设计了几个鲁棒控制设计程序,可以解决这些问题,特别是关于后一个方面。在本文中,这种鲁棒控制过程以一种新颖的方式与区间观测器相结合,以额外处理未知但有界的测量噪声的影响,并以可证明的方式防止状态约束的违反。
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引用次数: 8
Slippage Influence in Skid-Steering Platform Trajectory Tracking Quality with Unicycle Approximation 基于单轮近似的滑移对滑转向平台轨迹跟踪质量的影响
W. Domski, A. Mazur
In this paper the problem of quality control of a SSMP platform with a kinematics of an unicycle was addressed. During the movement of a SSMP platform a slippage occurs when the vehicle is changing its orientation. On the other hand, the presence of slippage is unavoidable because the platform has to induce a differential velocity on each side to change its orientation. However, when the platform moves on a trajectory without a curvature then there is no lateral slippage. It was shown that the kinematics of a SSMP platform can be approximated with a kinematics of an unicycle. The quality of the approximation depends on how much the slipping effect is introduced into the system.
本文研究了带独轮车运动学的SSMP平台的质量控制问题。在SSMP平台的运动过程中,当车辆改变其方向时,会发生滑移。另一方面,滑脱的存在是不可避免的,因为平台必须在每一边诱导一个不同的速度来改变它的方向。然而,当平台沿着没有曲率的轨迹运动时,就没有横向滑移。结果表明,SSMP平台的运动学可以近似为独轮车的运动学。近似的质量取决于在系统中引入多少滑动效应。
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引用次数: 1
The Application of Virtual Logic Models to Simulate Real Environment for Testing Advanced Driving-Assistance Systems 虚拟逻辑模型在先进驾驶辅助系统仿真环境中的应用
Michal Pikus, Jarosław Wąs
Advanced driving-assistance systems (ADAS) have become more popular and received more aid in automotive business. ADAS systems evolution requires more efforts to prepare efficient and reliable systems. Because of safety restrictions we need to validate systems by driving over several million kilometers in different conditions. That is why research, development and verification processes are highly required. The best solution to solve this problem are computer simulations. Application of digital scenarios saves time, money and human resources. There are many simulators which are developed by automotive companies. In our paper we would like to present set of simulators which are used to simulate and validate camera sensors, control and path planning algorithms for ADAS. Our tools are able to simulate/emulate vehicle components and road environment elements. However, mainly in case of ADAS systems this is a difficult task. Our paper presents approaches the methodology of virtual simulations [1],
先进驾驶辅助系统(ADAS)在汽车行业越来越受欢迎,得到了越来越多的帮助。ADAS系统的发展需要更多的努力来准备高效可靠的系统。由于安全限制,我们需要在不同的条件下行驶数百万公里来验证系统。这就是为什么非常需要研究、开发和核查过程的原因。解决这个问题的最好办法是计算机模拟。数字化场景的应用节省了时间、金钱和人力资源。汽车公司开发了许多模拟器。在我们的论文中,我们想提出一套模拟器,用于模拟和验证相机传感器,控制和路径规划算法的ADAS。我们的工具能够模拟/模拟车辆组件和道路环境元素。然而,主要在ADAS系统的情况下,这是一项艰巨的任务。我们的论文介绍了虚拟仿真的方法。
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引用次数: 2
An application of the induced matrix norm in the minimum-energy design of perfect control algorithm 诱导矩阵范数在完美控制算法最小能量设计中的应用
D. Pączko, W. Hunek
In the previous research study it has been pointed out that employing the approximation of the induced matrix norm can be useful during design of minimum-energy perfect control law for LTI MIMO discrete-time state-space plants. It has also been shown that this scenario was related to the case involving the closed-loop control matrix norm being less than unity, which was preserved by proper selection of applied nonunique inverses. This paper focuses on the systems which have been excluded from our past considerations. The methodology of minimum-energy approach for plants with norm greater than one is postulated here and some peculiarities in this matter additionally are given. This innovative method allows to predefine in a simple way a minimum-energy behavior of this intriguing control procedure.
在以往的研究中已经指出,在LTI - MIMO离散状态空间对象的最小能量完美控制律设计中,采用诱导矩阵范数的近似是有用的。还表明,这种情况与闭环控制矩阵范数小于单位的情况有关,通过适当选择应用的非唯一逆来保持这种情况。本文的重点是在过去的考虑中被排除在外的系统。本文假设了范数大于1的植物的最小能量方法,并给出了该方法的一些特点。这种创新的方法允许以一种简单的方式预先定义这个有趣的控制过程的最小能量行为。
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引用次数: 0
Adaptive, nonlinear control of a third-order Duffing-Holmes type chaotic oscillator 三阶Duffing-Holmes型混沌振荡器的自适应非线性控制
J. Kabzinski, Przemysław Mosiołek
A general tracking problem is formulated and solved for a third-order Duffing-Holmes type chaotic oscillator implemented as an electronic circuit with unknown parameters. Two nonlinear controllers, based on adaptive backstepping techniques, are derived and compared. Both are sufficiently robust and accurate for practical implementation. The same approach may be used for chaos stabilization and synchronization.
提出并求解了三阶Duffing-Holmes型混沌振荡器的一般跟踪问题。推导并比较了两种基于自适应反演技术的非线性控制器。两者对于实际实现都足够健壮和准确。同样的方法也可用于混沌稳定和同步。
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引用次数: 0
Automotive Ethernet Applications Using Scalable Service-Oriented Middleware over IP: Service Discovery 在IP上使用可伸缩的面向服务的中间件的汽车以太网应用:服务发现
Teodor-Constantin Nichiţelea, Maria-Geanina Unguritu
This paper presents a simulated distributed embedded system consisting of two Automotive Ethernet applications based on the SOME/IP-SD (Scalable Service-Oriented Middleware over IP - Service Discovery) concept: angular position control of a DC motor actuator for an automobile's trunk lid and interior lights control based on the vehicle's doors state. The paper also proposes a different in-vehicle E/E (Electric and Electronic) architecture which contains only the scalable Ethernet network. For this reason, the paper motivates the need for Ethernet in Automotive and makes a comparison to conventional busses.
本文提出了一个模拟的分布式嵌入式系统,该系统由两个基于SOME/IP- sd(基于IP的可扩展面向服务的中间件-服务发现)概念的汽车以太网应用组成:用于汽车后备箱盖的直流电机执行器的角度位置控制和基于汽车车门状态的内部灯控制。本文还提出了一种不同的车载E/E(电气和电子)架构,该架构仅包含可扩展的以太网。为此,本文提出了以太网在汽车中的应用需求,并与传统总线进行了比较。
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引用次数: 6
Enhanced Process Fault Diagnosis through Integrating Neural Networks and Andrews Plot 基于神经网络和安德鲁斯图的过程故障诊断
Shengkai Wang, Jie Zhang
With industrial production processes becoming more and more sophisticated, traditional fault diagnosis systems may not achieve reliable diagnosis performance. In order to improve fault diagnosis performance, this paper proposes an enhanced fault diagnosis system by integrating neural networks with Andrews plot. On-line measurements are first processed by Andrews plot and then fed to a neural network for fault classification. Application to a simulated CSTR process indicates that the proposed method can give more reliable and earlier diagnosis than the traditional neural network based fault diagnosis method combined with principal component analysis.
随着工业生产过程的日益复杂化,传统的故障诊断系统可能无法实现可靠的诊断性能。为了提高故障诊断性能,本文提出了一种将神经网络与安德鲁斯图相结合的增强故障诊断系统。在线测量数据首先通过安德鲁斯图进行处理,然后输入神经网络进行故障分类。在CSTR过程仿真中的应用表明,该方法比传统的基于神经网络并结合主成分分析的故障诊断方法更早、更可靠。
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引用次数: 2
Adaptive identification method for simulation and control of glass melting process 玻璃熔融过程仿真与控制的自适应辨识方法
W. Byrski, Michal Drapala
Adaptive identification method based on modulating function approach is described in this paper. The real glass melting process is modelled by a linear system, which parameters values can be changed on-line during the identification procedure. The overall model is composed of several submodels. The models, which inputs can be controlled, are approximated by the Strejc transfer function. This approach allows to reduce the number of model parameters. Moreover, PID tuning methods dedicated to the Strejc models can be applied. The developed procedure was applied for data collected from a real glass containers production installation.
提出了一种基于调制函数法的自适应识别方法。实际玻璃熔融过程采用线性系统建模,在辨识过程中参数值可在线变化。整个模型由几个子模型组成。输入可控制的模型由Strejc传递函数逼近。这种方法可以减少模型参数的数量。此外,可以应用专门针对Strejc模型的PID整定方法。所开发的程序应用于从实际玻璃容器生产装置收集的数据。
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引用次数: 0
An improved reinforcement learning control strategy for batch processes 一种改进的批处理强化学习控制策略
P. Zhang, Jie Zhang, Yang Long, Bingzhang Hu
Batch processes are significant and essential manufacturing route for the agile manufacturing of high value added products and they are typically difficult to control because of unknown disturbances, model plant mismatches, and highly nonlinear characteristic. Traditional one-step reinforcement learning and neural network have been applied to optimize and control batch processes. However, traditional one-step reinforcement learning and the neural network lack accuracy and robustness leading to unsatisfactory performance. To overcome these issues and difficulties, a modified multi-step action Q-learning algorithm (MMSA) based on multiple step action Q-learning (MSA) is proposed in this paper. For MSA, the action space is divided into some periods of same time steps and the same action is explored with fixed greedy policy being applied continuously during a period. Compared with MSA, the modification of MMSA is that the exploration and selection of action will follow an improved and various greedy policy in the whole system time which can improve the flexibility and speed of the learning algorithm. The proposed algorithm is applied to a highly nonlinear batch process and it is shown giving better control performance than the traditional one-step reinforcement learning and MSA.
批量生产过程是高附加值产品敏捷生产的重要而必要的生产路线,但由于存在未知干扰、模型厂失配和高度非线性等特点,批量生产过程难以控制。传统的一步强化学习和神经网络已被用于批量过程的优化和控制。然而,传统的一步强化学习和神经网络缺乏准确性和鲁棒性,导致性能不理想。为了克服这些问题和困难,本文提出了一种基于多步动作q学习的改进多步动作q学习算法(MMSA)。对于MSA,将动作空间划分为若干相同时间步长的时间段,并在一个时间段内连续应用固定的贪婪策略来探索相同的动作。与MSA相比,MMSA的改进之处在于,在整个系统时间内,动作的探索和选择将遵循一种改进的、多样化的贪婪策略,从而提高了学习算法的灵活性和速度。将该算法应用于一个高度非线性的批处理过程,结果表明,该算法比传统的一步强化学习和MSA具有更好的控制性能。
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引用次数: 3
Robust unknown input observer design for simultaneous actuator and sensor faults 执行器和传感器同时故障的鲁棒未知输入观测器设计
M. Pazera, M. Witczak, Norbert Kukurowski
The paper deals with the problem of simultaneous estimation of the state as well as the sensor and actuator faults. The proposed approach is developed in such a way that it allows decoupling the actuator faults from the state. In a similar fashion, the sensor fault is derived directly from the output. Moreover, the quadratic boundedness approach is utilised for guaranteeing the robust stability of the observer. It supposes that the uncertainty are limited within an ellipsoidal set. The final part of the paper shows the illustrative example with the implementation to the laboratory multi-tank system.
研究了系统状态的同时估计问题以及传感器和执行器故障的同时估计问题。提出的方法是这样一种方式,它允许将执行器故障从状态解耦。以类似的方式,传感器故障直接从输出导出。此外,利用二次有界性方法保证观测器的鲁棒稳定性。它假设不确定性被限制在一个椭球集合内。论文的最后部分给出了对实验室多槽系统的实现实例。
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引用次数: 1
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2019 24th International Conference on Methods and Models in Automation and Robotics (MMAR)
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