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2018 7th International Conference on Systems and Control (ICSC)最新文献

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Bond Graph Model-Based Control of the Quadcopter Dynamics 基于键合图模型的四轴飞行器动力学控制
Pub Date : 2018-10-01 DOI: 10.1109/ICOSC.2018.8587627
Djihad Matouk, F. Ahmad, Pushpendra Kumar, R. Merzouki, Manarshhjot Singh, F. Abdessemed
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引用次数: 3
Optimal Operation of a Residential Energy Hub 住宅能源枢纽的优化运行
Pub Date : 2018-10-01 DOI: 10.1109/ICOSC.2018.8587625
Z. R. Dogaheh, Vicenç Puig
In this paer, the performance of smart grids is optimized for the case of residential energy centers equipped with solar photo-voltaic (PV) units. In this regard, two optimizations were done reducing energy consumption and cost. The results obtained from this study can be used by three groups of external consumers, environmental experts and energy suppliers. Big home appliances consume large part of household energies. With the use of a smart control tool, consumers can program home appliances daily or weekly to pay less by using them in non-peak load time. Hub energy is a concept that has been considered in energy systems mixed with multiple energy carriers. A hub is determined as the locus of activity of system. Certainly, a hub is the energy core, in which all activities associated with a system including generation, storage and consumption of energy in applied equipment are determined. In this research, YALMIP toolbox in MATLAB is used for optimization of energy consumption with the objective of cost reduction associated to fossil fuels by using a PV generation unit. As a result, right time to turn each appliance on is specified considering the practical limitations of the appliances and the maximum possible application of PV unit for renewable energy generation.
本文以安装太阳能光伏发电机组的住宅能源中心为例,对智能电网的性能进行了优化。在这方面,进行了两项优化,以降低能耗和成本。本研究的结果可供三组外部消费者、环境专家和能源供应商使用。大型家用电器消耗了家庭能源的很大一部分。通过使用智能控制工具,消费者可以每天或每周对家用电器进行编程,通过在非高峰负荷时间使用它们来减少支付。枢纽能源是一个概念,已被考虑在能源系统混合多个能源载体。中心被确定为系统活动的轨迹。当然,枢纽是能源核心,与系统相关的所有活动,包括在应用设备中产生、储存和消耗能源,都是在这里确定的。本研究利用MATLAB中的YALMIP工具箱对光伏发电机组进行能耗优化,以降低与化石燃料相关的成本为目标。因此,考虑到设备的实际限制和光伏机组在可再生能源发电中的最大可能应用,确定了每个设备的正确打开时间。
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引用次数: 4
Identification of pH neutralization process based on a modified adaptive fuzzy c-regression algorithm 基于改进自适应模糊c-回归算法的pH中和过程辨识
Pub Date : 2018-10-01 DOI: 10.1109/ICOSC.2018.8587628
A. Telmoudi, M. Soltani, A. Chaari
This paper presents a new design procedure of an adaptive fuzzy c-regression model algorithm. The latter uses a fixed parameter in its objective function. To deal with this problem, we integrate an adaptive function into conventional adaptive fuzzy c-regression model in order to reduce the effect of an arbitrary choice of this parameter on the estimation accuracy of the model parameters. The proposed method is investigated and evaluated through the identification quality of the pH neutralization process. Finally, experimental results indicate the viability of the proposed algorithm.
本文提出了一种新的自适应模糊c-回归模型算法的设计过程。后者在其目标函数中使用固定参数。为了解决这一问题,我们将自适应函数集成到传统的自适应模糊c-回归模型中,以减少该参数的任意选择对模型参数估计精度的影响。通过pH中和过程的鉴定质量对该方法进行了研究和评价。最后,实验结果表明了该算法的可行性。
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引用次数: 0
Diagnosis of a Permanent Magnet Synchronous Generator using the Extended Kalman Filter and the Fast Fourier Transform 应用扩展卡尔曼滤波和快速傅立叶变换诊断永磁同步发电机
Pub Date : 2018-10-01 DOI: 10.1109/ICOSC.2018.8587632
L. Gliga, H. Chafouk, D. Popescu, C. Lupu
The most common faults which can affect a Permanent Magnet Synchronous Generator are the rotor demagnetization, eccentricity (static, dynamic and mixed) and inter-turn short circuit. Their effect is noticeable on the spectrum of the stator currents, which is computed using the FFT. However, for a wind turbine, the spectrum of the currents changes with the wind speed. Therefore, the obtained results may not be accurate. In this paper, the residuals between an Extended Kalman Filter and the measured currents are proposed to be used for fault diagnosis and identification, via the FFT. The spectrum of the residuals is invariant to changes in the wind speed, but sensitive to faults.
影响永磁同步发电机最常见的故障是转子退磁、偏心(静态、动态和混合)和匝间短路。它们对定子电流频谱的影响是明显的,这是用FFT计算的。然而,对于风力涡轮机来说,电流的频谱随着风速的变化而变化。因此,所得结果可能不准确。本文提出了扩展卡尔曼滤波器与测量电流之间的残差,通过FFT用于故障诊断和识别。残差谱对风速变化不变化,但对故障敏感。
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引用次数: 10
Fault Tolerant Adaptive Control using Time Delay Control Scheme under Motor Faults of Octocopter 基于时滞控制的八旋翼机电机故障容错自适应控制
Pub Date : 2018-10-01 DOI: 10.1109/ICOSC.2018.8587803
Jangho Lee, Dongho Shin, Hyeok Ryu, Dasol Lee, D. Shim
In this study, we propose a control technique for stabilizing the attitude of multicopters when one or motors develops a fault. Existing fault-tolerant multicopter control schemes attempt to secure the control force by tilting the principal axis or applying a control allocation method to the extra rotors in hexacopters and octocopters. However, these methods have the disadvantage of requiring additional mechanical devices for tilting and algorithms for fault detection and isolation. In this study, we propose a robust adaptive control method that overcomes these problems and can follow the commands of a multicopter in uncertain situations. In contrast to existing multicopter flight control methods, the proposed technique offers reliable performance against motion modeling errors and disturbances owing to its robustness to uncertainties. Simulations and flight tests verify that the proposed control technique can stabilize the attitude of a multicopter and follow the given attitude commands even in the event of faults.
在这项研究中,我们提出了一种控制技术,以稳定多旋翼机的姿态,当一个或多个电机发生故障。现有的容错多旋翼控制方案试图通过倾斜主轴或对六旋翼和八旋翼的额外旋翼采用控制分配方法来确保控制力。然而,这些方法的缺点是需要额外的机械装置进行倾斜和算法进行故障检测和隔离。在这项研究中,我们提出了一种鲁棒自适应控制方法,克服了这些问题,并且可以在不确定情况下遵循多旋翼飞机的命令。与现有的多旋翼飞机飞行控制方法相比,该方法对不确定性具有鲁棒性,能够有效地抵抗运动建模误差和干扰。仿真和飞行试验验证了所提出的控制技术在多旋翼机发生故障时仍能保持姿态稳定并遵循给定的姿态指令。
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引用次数: 6
Control and optimal management of a multi-source energy system 多源能源系统的控制与优化管理
Pub Date : 2018-10-01 DOI: 10.1109/ICOSC.2018.8587634
T. Alnejaili, A. Alibi, L. Chrifi-Alaoui, D. Mehdi, H. Sahraoui, S. Drid
The main aim of this work is to develop an energy management algorithm (EMS) that control renewable energy system that consists of PV panels, lead acid battery banks and supercapacitor. On addition to that a Graphical user interfaces is developed to control the power system. The efficiency of the controller was tested by the mean of simulation, the result assume the effectiveness of the proposed control method and the intelligent management of the power flow controller.
这项工作的主要目的是开发一种能量管理算法(EMS)来控制由光伏板、铅酸蓄电池组和超级电容器组成的可再生能源系统。此外,还开发了一个图形用户界面来控制电力系统。通过仿真验证了控制器的有效性,验证了所提控制方法的有效性和功率流控制器的智能化管理。
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引用次数: 1
On fault detection and isolation applied on unicycle mobile robot sensors and actuators 独轮车移动机器人传感器及执行器故障检测与隔离研究
Pub Date : 2018-10-01 DOI: 10.1109/ICOSC.2018.8587845
Samia Mellah, G. Graton, E. E. Adel, M. Ouladsine, Alain Planchais
In this paper, a combination of model-based and hardware redundancy methods is proposed for both sensor and actuator fault detection and isolation (FDI) of unicycle mobile robots. A focus is brought on robot drift-like faults on wheels and sensors. The goal is to detect and isolate the faulty component as early as possible. The proposed method is based on a combination of hardware redundancy and a bank of Extended Kalman Filters (EKF). Each filter is tuned for a specific fault, to generate residuals with different signatures under different component faults. The different signatures allow the fault isolation. Simulation results show that the proposed method allow to detect both wheels and sensors small drift-like faults and isolate them as early as possible.Fault Detection and Isolation (FDI), Unicycle mobile robot, Drift-like faults, Extended Kalman Filter (EKF), Hardware redundancy.
本文提出了一种基于模型和硬件冗余相结合的单轮移动机器人传感器和执行器故障检测与隔离方法。重点是机器人车轮和传感器上的漂移式故障。目标是尽可能早地检测和隔离故障组件。该方法基于硬件冗余和一组扩展卡尔曼滤波器(EKF)的结合。每个滤波器针对特定的故障进行调优,以在不同的组件故障下生成具有不同特征的残差。不同的签名可以实现故障隔离。仿真结果表明,该方法可以同时检测到车轮和传感器的小漂移故障,并尽早隔离故障。故障检测与隔离,独轮车移动机器人,类漂移故障,扩展卡尔曼滤波,硬件冗余。
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引用次数: 7
State estimation and H∞ sliding mode control for fuzzy descriptor systems 模糊广义系统的状态估计与H∞滑模控制
Pub Date : 2018-10-01 DOI: 10.1109/ICOSC.2018.8587809
M. Kchaou, A. Toumi, M. Souissi, M. Chaabane
This paper is concerned with the problems of state estimation and sliding mode control for non-linear descriptor systems described by (TS) fuzzy models. In fact, using an appropriate fuzzy observer to estimate the system states, an integral sliding mode surface and an adaptive observer-based sliding mode controller will be designed to guarantee the closed-loop fuzzy descriptor system to be robustly stable with H∞ performances, insensitive to all admissible uncertainties and satisfies the reaching condition. The developed results are tested on a representative example to confirm the effectiveness of the theoretical developments.
研究了由(TS)模糊模型描述的非线性广义系统的状态估计和滑模控制问题。实际上,利用适当的模糊观测器估计系统状态,设计一个积分滑模曲面和一个基于自适应观测器的滑模控制器,以保证闭环模糊广义系统具有H∞性能的鲁棒稳定,对所有允许的不确定性不敏感,并满足到达条件。通过实例验证了理论推导的有效性。
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引用次数: 0
FPGA implementation of SHEPWM gate signal IGBTs FPGA实现SHEPWM门信号igbt
Pub Date : 2018-10-01 DOI: 10.1109/ICOSC.2018.8587821
Khoukha Imarazne, E. Berkouk
This paper deals the generation of all signal gates for three-level inverter using FPGA SPARTAN-3E device. The PWM switching angles are computed on the basis of the selective harmonics elimination for several frequency values. In order to cancel three odd harmonics the arm voltage waveform profile contains four switching angles. For, the experimental results, three phase three level inverter hardware circuit is constructed using six IGBTs modules. Before configuring the FPGA device, all signals are checked on ModelSim environment. Experimental results using SAPRTAN-3E starter kit are presented validate the proposed implementation.
本文研究了用FPGA SPARTAN-3E器件实现三电平逆变器的所有信号门的生成。基于对多个频率值的选择性谐波消除,计算了PWM开关角。为了消除三个奇次谐波,臂电压波形曲线包含四个开关角。根据实验结果,采用6个igbt模块构建了三相三电平逆变器硬件电路。在配置FPGA设备之前,需要在ModelSim环境中检查所有信号。利用SAPRTAN-3E启动器套件的实验结果验证了所提出的实现。
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引用次数: 0
Tuning DMC controller using multi-objective optimization for the CIC2018 Benchmark Challenge* 在CIC2018基准挑战中使用多目标优化对DMC控制器进行调谐*
Pub Date : 2018-10-01 DOI: 10.1109/ICOSC.2018.8587817
C. Babiera, Juan Manuel Herrero Durá, J. Sanchís, X. Blasco
In this paper, a multivariable Dynamic Matrix Control (DMC) tuning using multi-objective optimization (MO) is presented and evaluated on the one-staged refrigeration cycle model described in the CIC2018 benchmark challenge – an adaptation of the benchmark proposed in the PID18 Conference. The MO approach takes advantage of the relative indexes given by the benchmark, allowing knowledge about how much the DMC parameters influence control performance. Results of the MO approach are shown using Level Diagrams (LD), a tool for visualization and analysis of multidimensional Pareto fronts. Consequently, different DMC tunings are selected for different trade-offs between the relative indexes. Selection procedure shows how relevant an analysis of the Pareto Front can be in the decision-making stage for multivariable controller tuning.
本文提出了一种使用多目标优化(MO)的多变量动态矩阵控制(DMC)调谐方法,并在CIC2018基准挑战中描述的单阶段制冷循环模型上进行了评估。MO方法利用了基准给出的相关指标,可以了解DMC参数对控制性能的影响程度。MO方法的结果使用层次图(LD)显示,这是一种用于可视化和分析多维帕累托前沿的工具。因此,对于相对指数之间的不同权衡,选择不同的DMC调优。选择过程显示了对Pareto Front的分析在多变量控制器调整的决策阶段的相关性。
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2018 7th International Conference on Systems and Control (ICSC)
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