In this paper, reciprocal collision avoidance is studied for nonholonomic mobile robots to achieve an efficient navigation. Two strategies are proposed to respectively adjust the linear and angular velocities so that ...
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In this paper, reciprocal collision avoidance is studied for nonholonomic mobile robots to achieve an efficient navigation. Two strategies are proposed to respectively adjust the linear and angular velocities so that a collision-free navigation can be achieved. By characterizing the collision-free navigation as a set of changing ratios for linear velocities, it is shown that collision can be avoided if the changing ratio of linear velocities is inside this set. Moreover, the strategy of the adjusting angular velocities is established following TTC-based method. Withthe combination of these two strategies, a simulation is done for four robots crossing the intersection, which shows the effectiveness of the proposed method.
this paper examines the event-triggered consensus problem of the multi-agent system on signed networks. An event-based distributed control protocol is proposed for multiagent networks where the dynamics of each agent ...
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this paper examines the event-triggered consensus problem of the multi-agent system on signed networks. An event-based distributed control protocol is proposed for multiagent networks where the dynamics of each agent is characterized by a controllable linear time-invariant system (A, B). By exploring the Gauge transformation between Laplacian matrix and signed Laplacian matrix, we show that the bipartite consensus and trivial consensus can be achieved, respectively, in terms of the structural balance of the underlying signed network. Furthermore, the Zeno phenomenon of the closed-loop system is shown to be non-existed when employing the proposed event-based control protocol. Simulation results are finally provided to demonstrate our results.
Aiming at measuring tree barriers in transmission line corridors, a binocular vision ranging method is proposed to measure the distance between the transmission lines and trees. Based on the principle of binocular vis...
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Aiming at measuring tree barriers in transmission line corridors, a binocular vision ranging method is proposed to measure the distance between the transmission lines and trees. Based on the principle of binocular vision ranging, the binocular camera is calibrated using a marked checkerboard as a calibration board. then, the SAD region matching algorithm is applied to the preprocessed images, and the disparity map is acquired. Finally, the distance between the tree and the transmission line can obtain according to the three-dimensional coordinate information of two target points. the results of the experiments show that the proposed binocular vision-based method can achieve the measurement error within ±30cm. the precision can meet the need of measuring the distance between trees and the transmission lines, which is an effective way for warning tree barriers in transmission line corridors.
the present paper presentes the tuning of a Fractional Order Proportional Integral (FOPI) controller for second-order-plus-time-delay (SOPDT) plants. the tuning procedure is based on imposing frequency domain constrai...
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the present paper presentes the tuning of a Fractional Order Proportional Integral (FOPI) controller for second-order-plus-time-delay (SOPDT) plants. the tuning procedure is based on imposing frequency domain constraints for the open loop system withthe FOPI controller and the SOPDT plant. the gain crossover frequency, phase margin and the iso-damping property that guarantees a certain degree of robustness to gain variations are imposed in order to obtain the parameters of the fractional order controller. the proposed method is validated by real life implementation on a process whose dynamics are approximated to a SOPDT model. the settling time, steady state error, robustness and disturbance rejection capabilities are analyzed using experimental test cases.
this paper is interested in the receding horizon estimation problem for the networked control systems with packet losses. Different from the scalar data losses case, we introduce a diagonal matrix to represent the phe...
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this paper is interested in the receding horizon estimation problem for the networked control systems with packet losses. Different from the scalar data losses case, we introduce a diagonal matrix to represent the phenomenon of packet losses, where each element of the diagonal matrix is a binary stochastic variable and indicates the arrival of the corresponding measurement component. that means different observation components have different packet loss probability. A batch form and a recursive form for the receding horizon estimation are proposed by minimizing a new cost function that includes two terminal weighting terms. Using the derived condition, the stability of the proposed receding horizon estimation is proved. Finally, a numerical example is provided for illustration.
this paper proposes a block backstepping trajectories tracking control scheme for a class of unmanned helicopters. the control objective is to make the position and yaw angle trajectories of the helicopter track the d...
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this paper proposes a block backstepping trajectories tracking control scheme for a class of unmanned helicopters. the control objective is to make the position and yaw angle trajectories of the helicopter track the desired position and yaw angle trajectories. In order to design the controller, the helicopter system is divided into three subsystems at first. then based on the block backstepping technique, four control inputs which constitute the helicopter controller are designed step by step in three subsystems. the asymptotic stability of the closed-loop helicopter trajectories tracking error system is verified based on Lyapunov stability analysis. Finally, numerical simulations demonstrate the effectiveness of the proposed block backstepping control scheme.
In the recent automation process, the manufacturing automation innovation is being done by using vision technology that can make instant judgement. In this paper, a method of vision based angle estimation is presented...
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ISBN:
(纸本)9781538631577
In the recent automation process, the manufacturing automation innovation is being done by using vision technology that can make instant judgement. In this paper, a method of vision based angle estimation is presented. the central moment is calculated and the rotation angle is estimated by the angle withthe principal axis. there is also a method of estimating the precision rotation angle using the angle between matching points of SIFT descriptors. We propose a rotation angle estimation method that is invariant to object posture. We used affine transformation for the preprocessing of the image for the invariance to object posture. To estimate the accuracy of the rotation angle, we used blobs which are features in the object area. We conducted the angle estimation accuracy and repeatability tests under the experimental environment which has been constructed in our lab. We obtain less than 0.154 angle estimation accuracy.
the data-driven control scheme has been proposed to control nonlinear systems by adaptively tuning controller parameters based on the database. In the data-driven control scheme, the fixed number of neighbors' dat...
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the data-driven control scheme has been proposed to control nonlinear systems by adaptively tuning controller parameters based on the database. In the data-driven control scheme, the fixed number of neighbors' data are selected to calculate controller parameters. therefore, the control performance cannot be improved when the inappropriate neighbors' data are chosen. In other words, the inappropriate controller parameters are calculated when query data is not included in the database. In this study, the data-driven control scheme using the kernel density estimation is proposed. the kernel density estimation can calculate the similarity between query data and database. According to the proposed scheme, controller parameters are calculated based on the abnormality which is obtained by the similarity mentioned above. the effectiveness of the proposed scheme is evaluated by a numerical example.
In this paper, the weighted L 1 -gain performance on positive system with time-varying delay is investigated. An impulse time dependent hybrid control scheme is proposed by applying the proportional control method K p...
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In this paper, the weighted L 1 -gain performance on positive system with time-varying delay is investigated. An impulse time dependent hybrid control scheme is proposed by applying the proportional control method K p at impulse instants and the integral control action K I during the impulsive time intervals. Using average impulsive interval approach and the co-positive Lyapunov function, sufficient conditions are derived to design the Proportional Impulsive with Integral (PII) controller. then the exponential stability and weighted L 1 -gain control of the impulsive positive system are obtained. Numerical examples show the efficiency of this proposed design.
this paper presents the impact dynamics and post-impact motion control of boththe spacecraft base and the robot with flexible manipulator. First, the dynamic equations of the system are reformulated in the task space...
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this paper presents the impact dynamics and post-impact motion control of boththe spacecraft base and the robot with flexible manipulator. First, the dynamic equations of the system are reformulated in the task space using Lagrangian equation based on assumed mode method. then, the impact dynamic equations between end-effector of robotic manipulator and the contact object are derived based on momentum conservation principle. To controlthe unstable motion of the system due to the impact effect caused by an external object, a combination of Sliding Mode control (SMC) and Linear Quadratic Regulator (LQR) control algorithm is derived. the performances of the proposed control method are validated by numerical simulations. the simulation results show the satisfactory performance of the system.
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