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2019 Sixth Indian Control Conference (ICC)最新文献

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Design of Robust Optimal Fractional-order PID Controller using Salp Swarm Algorithm for Automatic Voltage Regulator (AVR) System 基于Salp群算法的稳健性分数阶PID控制器设计
Pub Date : 2019-12-01 DOI: 10.1109/ICC47138.2019.9123188
Prajakta Sirsode, Arti V. Tare, V. Pande
This paper presents a method for robust optimum tuning of Fractional-order Proportional Integral Derivative (FoPID) controller for Automatic Voltage Regulator (AVR) system. Optimal tuning of FoPID parameters for AVR system are accomplished by using Salp Swarm Algorithm (SSA) of optimization. The performance of the AVR system with FoPID controller tuned by SSA shows the robust performance against disturbances deliberated at the output of the system. To test the robustness of the system, in the presence of external disturbance $H_{infty}$ norm is considered. AVR system with SSA tuned PID controller is also simulated with MATLAB platform. Results shows that the AVR system with SSA tuned FoPID controller outperform the SSA tuned PID controller in the presence of external disturbances at output of the system and shows its disturbance rejection capabilities.
提出了自动调压系统分数阶比例积分导数(FoPID)控制器的鲁棒最优整定方法。采用Salp群算法(SSA)对AVR系统的FoPID参数进行优化。经SSA调谐的FoPID控制器对系统输出干扰具有鲁棒性。为了检验系统的鲁棒性,在存在外部干扰的情况下,考虑$H_{infty}$范数。利用MATLAB平台对带SSA自整定PID控制器的AVR系统进行了仿真。结果表明,在系统输出存在外部干扰的情况下,采用SSA调谐FoPID控制器的AVR系统优于SSA调谐PID控制器,具有良好的抗干扰能力。
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引用次数: 5
Adaptive Control of a Networked Mobile Robot Subject to Parameter Uncertainties and Limited Communications 参数不确定和通信受限的网络化移动机器人自适应控制
Pub Date : 2019-12-01 DOI: 10.1109/ICC47138.2019.9123161
Sami Al Issa, Arghya Chakravarty, I. Kar
A nonholonomic mobile robot, affected by parameter uncertainties and controlled over a communication network under limited bandwidth, is considered in this paper. Adaptive backstepping controller is designed to compensate the uncertainties in the model parameters. Thereafter, an event-triggered scheme is proposed based on a Lyapunov-based triggering condition in order to reduce the unnecessary utilization of network resources. Compared to traditional time-triggered implementation, simulation results show that the proposed control scheme successfully ensures faithful trajectory tracking with substantial saving of input resources characterized by number of required control signal transmissions.
研究了一种受参数不确定性影响的非完整移动机器人,该机器人在有限带宽下通过通信网络进行控制。设计了自适应反步控制器来补偿模型参数中的不确定性。在此基础上,提出了一种基于lyapunov触发条件的事件触发方案,以减少对网络资源的不必要利用。仿真结果表明,与传统的时间触发控制方案相比,该控制方案在保证轨迹跟踪可靠性的同时,大大节省了以控制信号传输次数为特征的输入资源。
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引用次数: 3
Vision based Autonomous QuadCopter Navigation through Narrow Gaps using Visual Servoing and Monocular SLAM 基于视觉伺服和单目SLAM的四轴飞行器窄间隙自主导航
Pub Date : 2019-12-01 DOI: 10.1109/ICC47138.2019.9123153
Titas Bera, A. Sinha, A. Sadhu, R. Dasgupta
In this paper we show a vision based autonomous quad-copter navigation through a narrow gap or window. The goal is to provide an effective solution to a problem of urban UAV search and rescue mission scenario, such as, fire detection and quenching situation in a high rise building. Such scenario may demand a GPS denied navigation and requires extensive use of on-board vision sensors and processors. In this paper, using on-board vision sensor based localization and visual servoing, we show a method to demonstrate a UAV autonomous navigation to enter a building through a narrow window. The entire mission scenario is divided into two phases, where the first phase comprises an effective visual servoing based approach trajectory generation and execution. In the terminal phase, the vision sensors may fail to locate the desired target features due to the constraints in view angle geometry. To compensate that a non-linear guidance law based trajectory following method is used which generates a monocular SLAM based phantom target locus and provides a consistent homing control. We have experimentally demonstrated and evaluated the method in a real world scenario with substantial success rate.
在本文中,我们展示了一种基于视觉的四旋翼飞行器通过狭窄间隙或窗口的自主导航。目标是针对城市无人机搜救任务场景的问题,如高层建筑的火灾探测和灭火情况,提供有效的解决方案。这种情况可能需要GPS拒绝导航,并需要广泛使用车载视觉传感器和处理器。本文利用基于机载视觉传感器的定位和视觉伺服技术,展示了一种无人机通过窄窗进入建筑物的自主导航方法。整个任务场景分为两个阶段,其中第一阶段包括基于有效视觉伺服的进场轨迹生成和执行。在终端阶段,由于视角几何的限制,视觉传感器可能无法定位期望的目标特征。为了弥补这一缺陷,采用了基于非线性制导律的弹道跟踪方法,生成了基于单目SLAM的幻影目标轨迹,并提供了一致的寻的控制。我们已经在现实世界的场景中实验证明和评估了该方法,成功率很高。
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引用次数: 3
Sliding mode guidance with terminal angle and latax constraints 具有终端角和latax约束的滑模制导
Pub Date : 2019-12-01 DOI: 10.1109/ICC47138.2019.9123236
Sachit Rao
An interceptor equipped with a guidance strategy that can strike a target at a specified terminal angle increases its effectiveness. Sliding mode control theory has been used to design such a guidance strategy, as it offers numerous benefits. In this paper, the role played by the interceptor’s lateral acceleration (latax) bounds in the design of a sliding mode controller to satisfy the terminal angle constraint is analysed. The paper also focusses on determining regions in the engagement space, as defined by the latax bounds and the controller parameters, to which, if the trajectory is confined, then interception is guaranteed. It is also shown that it is possible for the interceptor to become uncontrollable when intercepting stationary targets if the trajectory lies outside these regions. Simulation results are presented for the cases of intercepting stationary and constant-velocity targets.
如果拦截弹采用制导策略,可以在指定的末端角度打击目标,则可以提高拦截弹的效能。滑模控制理论已被用于设计这样的制导策略,因为它提供了许多好处。本文分析了截击器横向加速度(latax)界在满足末端角约束的滑模控制器设计中的作用。本文还重点讨论了在交战空间中确定区域的问题,该区域由层界和控制器参数定义,如果轨迹被限制在该区域内,则保证拦截。研究还表明,在拦截静止目标时,如果弹道位于这些区域之外,则有可能使拦截器变得不可控。给出了拦截静止目标和等速目标的仿真结果。
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引用次数: 0
Using a metric based tuning of Converted Measurement Kalman Filter (CMKF) for realistic target tracking scenario 采用基于度量的转换测量卡尔曼滤波(CMKF)进行目标跟踪
Pub Date : 2019-12-01 DOI: 10.1109/ICC47138.2019.9123160
M. Saha, B. Goswami, R. Ghosh
Converted measurement Kalman filter (CMKF), which is used in target tracking problems, converts polar measurements into Cartesian form to match Cartesian states. However, filter performance may degrade due to incorrect filter tuning of the biases and nonlinearities that arise due to the conversion. In this paper, the necessary converted measurement noise covariances have been derived in a 6 degree of freedom (6DOF) realistic target tracking scenario. In order to do so, the necessary frame conversions have also been accounted for to enable the estimation of the relative kinematics of the target. Thereafter, existing notions of robustness and sensitivity metrics have been suitably adapted to interpret the performance of CMKF in the 6DOF platform for various choices of tuning parameters and to predict the optimal tuning choice. The predicted performances and the optimal filter tuning choice have been validated in simulations in terms of the root mean squared errors (RMSE) for all measurements for 5000 Monte Carlo runs.
转换测量卡尔曼滤波(CMKF)用于目标跟踪问题,它将极坐标测量值转换成直角坐标形式以匹配直角坐标状态。然而,由于转换引起的偏差和非线性的不正确的滤波器调谐,滤波器性能可能会下降。本文推导了六自由度(6DOF)现实目标跟踪场景中必要的测量噪声协方差转换。为了做到这一点,还考虑了必要的帧转换,以便能够估计目标的相对运动学。此后,现有的鲁棒性和灵敏度指标的概念被适当地用于解释CMKF在各种调谐参数选择的6DOF平台上的性能,并预测最优调谐选择。预测的性能和最优的滤波器调谐选择已经在模拟中验证了5000蒙特卡罗运行的所有测量的均方根误差(RMSE)。
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引用次数: 0
Disturbance Estimation based Robust Consensus of Nonlinear Multi-agent Systems 基于非线性多智能体系统鲁棒一致性的扰动估计
Pub Date : 2019-12-01 DOI: 10.1109/ICC47138.2019.9123189
Jaywant P. Kolhe, Adarsh Kodhanda, M. Kuber
In this work, a new design based on disturbance estimation for the robust consensus of multi-agent systems is proposed where all agents are modelled as non-linear dynamic systems. Here a fixed topology is considered and it is assumed that all agents share relative information of their states with each other. The average consensus algorithm is augmented with Uncertainty and Disturbance Estimator (UDE) based disturbance estimation to achieve robustness. In doing so, state dependent nonlinearities of the system are considered as a part of the uncertainties to be estimated. The proposed robust consensus has two aspects, the agreement of the states of all agents and the estimation as well as cancellation of external disturbances acting on each agent. Here estimation of disturbances acting on the system is obtained using novel filter design of UDE. Closed loop stability of the overall system is established and numerical simulation results of proposed approach are presented to demonstrate its efficacy against different disturbances.
本文提出了一种基于扰动估计的多智能体系统鲁棒一致性设计方法,将所有智能体建模为非线性动态系统。这里考虑的是固定的拓扑结构,并假设所有代理彼此共享其状态的相对信息。在平均一致性算法中加入基于不确定性和扰动估计(UDE)的扰动估计来增强算法的鲁棒性。在这样做时,系统的状态相关非线性被认为是要估计的不确定性的一部分。所提出的鲁棒共识包括两个方面,即所有智能体状态的一致和作用于每个智能体的外部干扰的估计和消除。本文采用一种新的滤波器设计,对作用在系统上的干扰进行了估计。建立了整个系统的闭环稳定性,并给出了数值仿真结果,验证了该方法对不同干扰的有效性。
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引用次数: 0
Comparative studies of control performance for a nonlinear coupled quadruple conical tank system 非线性耦合四锥罐系统控制性能的比较研究
Pub Date : 2019-12-01 DOI: 10.1109/ICC47138.2019.9123205
Alpesh I. Patel, J. Patel, Bhavik Patel
There are many processes with Multi-Input Multi-Output (MIMO), which are non-linear in behavior. A difficulty arises in designing of controller when system interacting between input-output variables and coupling effects. This paper discusses the performance investigation of the classical PI controller and fuzzy logic-based controllers for coupled nonlinear quadruple conical tank system (QCTS). Experimental comparative analysis of controller’s performance discussed in depth. The fuzzy logic approach is more suitable for the nonlinear system to have interactions and coupling effects.
多输入多输出(MIMO)过程是一种非线性过程。当系统的输入输出变量之间存在相互作用,且存在耦合效应时,控制器的设计就会遇到困难。本文讨论了耦合非线性四锥罐系统的经典PI控制器和基于模糊逻辑的控制器的性能研究。对控制器的性能进行了实验对比分析。模糊逻辑方法更适合于具有相互作用和耦合效应的非线性系统。
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引用次数: 2
Automatic Control of Two Low Pressure Boilers in Sugar Plant 制糖厂两台低压锅炉的自动控制
Pub Date : 2019-12-01 DOI: 10.1109/ICC47138.2019.9123172
Abhir Raj Metkar, K. Krishnan, P. H., N. Sivakumaran
The boilers in a sugar plant need to operate at constant pressure. Typically the sugar plant boilers have the load as: an electric power generation load; a cane preparation and milling load; and a process load. Generally, due to non-uniform cane feeding and milling process, large load oscillations can occur. This load swings can directly induce steam pressure oscillations which is produced from the boilers. In this plant two identical boilers with common feedwater tank and a common steam header for steam output are available. Before automation, these boilers are operated using a mechanical ‘single element based’ drum level control system. The plant turbo-generator have frequent trip due to pressure oscillations. With the aim of efficiency enhancement, the retrofit automation of boilers was implemented in a sugar plant. Hence, the pressure oscillations were reduced considerably. As an industrial automation application, this paper discusses the key features of the design and implementation of automatic control system for two low pressure boilers in sugar plant and the benefits achieved.
糖厂的锅炉需要在恒压下运行。典型的糖厂锅炉的负荷为:发电负荷;甘蔗准备和碾磨负荷;还有一个过程负荷。通常,由于甘蔗的喂料和铣削过程不均匀,会出现较大的负载振荡。这种负荷波动可以直接引起锅炉产生的蒸汽压力振荡。在这个工厂里,有两个相同的锅炉,有一个共同的给水箱和一个共同的蒸汽集汽箱用于蒸汽输出。在自动化之前,这些锅炉使用机械“基于单元件”的汽包液位控制系统。电站汽轮发电机由于压力振荡而频繁跳闸。以提高锅炉效率为目的,对某糖厂锅炉进行了自动化改造。因此,压力振荡大大减少。作为一个工业自动化应用,本文论述了制糖厂两台低压锅炉自动控制系统的设计与实现的主要特点及所取得的效益。
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引用次数: 0
Collaborative Maxima-Turn-Switching for Source Seeking in 2-D Environment with Two Sensor-Equipped UAVs 二维环境下双传感器无人机协同最大转弯寻源
Pub Date : 2019-12-01 DOI: 10.1109/ICC47138.2019.9123216
R. Upasana, Satadal Ghosh
This paper presents a combination of maxima-turn-switching and pursuit strategies to drive two mobile sensory aerial agents to an unknown source of a scalar signal field in a planar environment. The source may be stationary, moving or maneuvering, but is assumed to be of constant signal strength. The signal strength is assumed to lessen with distance from the source. The only available information are the scalar measurements of the signal field captured by the on-board sensor of the UAVs at each time-instant. Each of the two UAVs is assumed to be able to communicate the measured signal strength with the other one, and know the relative position of the other one. The ability of the proposed method in driving the UAVs towards the source, for varied initial conditions, and stationary and mobile sources, is demonstrated through simulation results. A comparison of the proposed method with an existing method for localizing a stationary source is demonstrated using simulations to show the time-efficiency of the proposed method.
本文提出了一种结合最大转弯切换和追踪策略的平面环境中驱动两个移动感知空中代理到未知源的标量信号场的方法。信号源可以是静止的、移动的或机动的,但假定信号强度恒定。假定信号强度随距离源的远近而减弱。唯一可用的信息是无人机机载传感器在每个时刻捕获的信号场的标量测量值。假设两架无人机能够与另一架通信测量信号强度,并知道另一架的相对位置。通过仿真结果验证了该方法在不同初始条件下,以及在固定和移动源条件下驱动无人机向源方向移动的能力。通过仿真,将所提方法与现有的固定源定位方法进行了比较,证明了所提方法的时效性。
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引用次数: 2
Development of Sliding-Mode Landing Controller using Cooperative Relative Localization with Pattern Generation 基于模式生成的协同相对定位滑模着陆控制器的研制
Pub Date : 2019-12-01 DOI: 10.1109/ICC47138.2019.9123233
Rohith Boyinine, Anusna Chakraborty, Rajnikant Sharma, K. Brink
In this paper, we develop a landing controller based on sliding-mode control law for landing a UAV on a moving ship using relative estimates in GPS-denied environments with range-only measurements. Precise knowledge of relative position, orientation and velocity is required to accurately land an Unmanned Aerial Vehicle (UAV) onto the surface of a moving platform. Although vision-based techniques have been used to previously solve such problems, they fail in dark or hostile weather conditions and also a line of sight is required with the landing platform at all times. Cooperation among different Unmanned Vehicles (UVs) have been introduced to aid the estimation process. We also investigate how different trajectories followed by supporting vehicles effect the localization accuracy. A Matlab/Simulink simulator has been created and exhaustive simulations have been performed that demonstrates the effect of these trajectories on localization accuracy.
在本文中,我们开发了一种基于滑模控制律的降落控制器,用于在gps拒绝环境下使用距离测量的相对估计在移动船舶上降落无人机。为了使无人机准确地降落在移动平台的表面上,需要精确地了解相对位置、方向和速度。尽管基于视觉的技术已经被用来解决这些问题,但它们在黑暗或恶劣的天气条件下会失败,而且着陆平台需要始终保持视线。不同的无人驾驶车辆(UVs)之间的合作已经被引入,以帮助估计过程。我们还研究了支持车辆跟随的不同轨迹对定位精度的影响。建立了Matlab/Simulink模拟器,并进行了详尽的仿真,证明了这些轨迹对定位精度的影响。
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引用次数: 1
期刊
2019 Sixth Indian Control Conference (ICC)
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