We propose a new approach to visual perception for relative localization of agents within large-scale swarms of Unmanned Aerial Vehicles (UAVs). Inspired by biological perception utilized by schools of sardines, swarm...
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ISBN:
(数字)9798350384574
ISBN:
(纸本)9798350384581
We propose a new approach to visual perception for relative localization of agents within large-scale swarms of Unmanned Aerial Vehicles (UAVs). Inspired by biological perception utilized by schools of sardines, swarms of bees, and other large groups of animals capable of moving in a decentralized yet coherent manner, our method does not rely on detecting individual neighbors by each agent and estimating their relative position, but rather we propose to regress a neighbor density over distance. This allows for a more accurate distance estimation as well as better scalability with respect to the number of neighbors. Additionally, a novel swarm control algorithm is proposed to make it compatible with the new relative localization method. We provide a thorough evaluation of the presented methods and demonstrate that the regressing approach to distance estimation is more robust to varying relative pose of the targets and that it is suitable to be used as the main source of relative localization for swarm stabilization.
This paper presents an adaptive state observer for a nonlinear induction motor model that accounts for viscous friction. The problem is solved using a modified version of the Dynamic Regressor Extension and Mixing (DR...
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ISBN:
(数字)9798350373974
ISBN:
(纸本)9798350373981
This paper presents an adaptive state observer for a nonlinear induction motor model that accounts for viscous friction. The problem is solved using a modified version of the Dynamic Regressor Extension and Mixing (DREMBAO) method. The main idea is to reduce the original model to a regression-like model, where the vector of unknowns contains unknown parameters and state variables. After this step, it becomes possible to obtain a set of scalar linear equations with respect to the unknown state variables and parameters. Using these equations, parameters are estimated with gradient descent estimator, and state estimation is obtained using the gradient observer. Simulation results of an adaptive observer are presented, which demonstrate the effectiveness of the proposed approach.
To rapidly and accurately establish the model of switched reluctance motors (SRMs) and enhance torque control performance, this article proposes a model predictive torque control (MPTC) strategy based on the optimized...
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This paper considers the formation control of single-integrator modeled agents with unknown disturbances. Two cases are investigated. In the first case, the connected agents are assumed to be able to measure relative ...
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This paper considers the formation control of single-integrator modeled agents with unknown disturbances. Two cases are investigated. In the first case, the connected agents are assumed to be able to measure relative displacements between each other. The control law for this case is designed to ensure a stable formation with a predefined rejection performance for disturbances. In the second case, additionally, one agent is assumed to be able to sense its position in a global coordinate system. The control law for this case is designed to ensure the stability of agents’ positions with respect to predefined desired positions. Also, a rejection performance for disturbances is ensured. Simulation results are provided to support the theoretical analysis for the proposed control algorithms.
The recently proposed DREM-based adaptive state observer (DREMBAO) design approach assumes that there exists transformation of the system model into a cascade form, linearly dependent on parameters vector and depends ...
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The recently proposed DREM-based adaptive state observer (DREMBAO) design approach assumes that there exists transformation of the system model into a cascade form, linearly dependent on parameters vector and depends only on measured input and output. This paper proposes an extension to relax that assumption and extend the approach to state affine systems. Like the original version of DREMBAO, the proposed approach ensures global convergence of an estimation error to zero under a relatively weak condition. The advantages of the extension are demonstrated in the example with a permanent magnet synchronous motor. In contrast to the original approach, the proposed extension allows taking into account viscous friction in the motor and obtaining a simplified load torque estimation algorithm. Moreover, finite-time convergence to zero is ensured for the load torque and speed estimation error under a weak interval excitation.
The paper presents a family of novel light blob shape descriptors for use in selected active safety algorithms used in Advanced Driver Assistance systems (ADAS). One of the motivations was to obtain a descriptor that ...
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This paper presents a comparative performance evaluation of three different teleoperation interfaces for very low weight (<3 kg) anthropomorphic dual arms intended to conduct complex manipulation tasks involving a ...
This paper presents a comparative performance evaluation of three different teleoperation interfaces for very low weight (<3 kg) anthropomorphic dual arms intended to conduct complex manipulation tasks involving a certain level of dexterity, accuracy and agility, either in ground service or in aerial manipulation applications. A visual human pose estimation system is developed to obtain the Cartesian and joint values of the user, which are mapped to the corresponding pose of the dual arm manipulator exploiting the equivalent human-robot kinematics. A leader-follower scheme is also presented, using a reduced scale dual arm that can replicate directly the joint positions of the leader arms to the follower arms. A 6-DOF (degrees of freedom) joystick is proposed to generate linear motions more accurately. A total of 60 ground tests were conducted involving 10 participants to determine the accuracy and time performance in two benchmarks (box edges and S contour tracking). Finally, the visual and leader-follower interfaces were evaluated with the dual arm aerial manipulator on flight tests, reporting several findings derived from the system evaluation.
This paper proposes an adaptive trajectory tracking control scheme for differentially driven robots in the state of unknown kinematic and dynamic model parameters and uncertain external disturbances. The main idea is ...
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This paper proposes an adaptive trajectory tracking control scheme for differentially driven robots in the state of unknown kinematic and dynamic model parameters and uncertain external disturbances. The main idea is to design an adaptive controller to reduce the influence of unknown dynamic parameters and unknown parameters of the kinematic model. A kinematic controller is first designed to generate virtual velocities as reference inputs for dynamic controlsystems. The kinematic controller is then designed so that the actual velocity tracks the virtual velocity asymptotically. The robot can reach the expected speed and let the attitude error converge quickly. This approach enables the robot to quickly follow the desired trajectory. Finally, the effectiveness of the method is proved by MATLAB simulation.
In this paper, the existing problems of non-destructive testing of defects in the surface and subsurface coating layers of complex profile products are considered. The main factors influencing the choice of the scanni...
In this paper, the existing problems of non-destructive testing of defects in the surface and subsurface coating layers of complex profile products are considered. The main factors influencing the choice of the scanning scheme are determined. For the implementation of non-destructive testing, several scanning schemes were proposed, which were analyzed in order to determine the necessary trajectory and step of movement of the transducer relative to the surface of a complex profile product. As a result, an optimal scanning scheme was selected.
This paper addresses the problem of adaptive output regulation of a minimum-phase MIMO LTI system in the presence of un-modeled (fast) input dynamics. The adoption of a post-processing tunable internal model makes it ...
This paper addresses the problem of adaptive output regulation of a minimum-phase MIMO LTI system in the presence of un-modeled (fast) input dynamics. The adoption of a post-processing tunable internal model makes it possible to implement standard methods for the analysis of two-time-scale systems. The proposed adaptation law guarantees, under suitable hypotheses, convergence to zero of the regulation error as well as of the parameter estimation error.
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