At present, there are some problems in controlling the servo system of Unmanned Amphibious Rescue Vehicle (UARV) with PID controller, such as low track tracking accuracy, poor control error, poor stability and safety ...
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This paper addresses the issue of fault-tolerant coordinated control in multi-agent systems (MASs), where actuators may suffer from partial loss of effectiveness (PLOE) faults and bias faults. The proposed strategy en...
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The modern development of technology in the field of manufacturing has made significant progress. Thanks to research in the field of Industry 4.0, we now have intelligent manufacturing systems based on the Internet of...
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In the aviation industry, anodic oxidation serves as a core process for surface modification of aluminum alloy components, albeit accompanied by high energy consumption. Accurate prediction of key parameters can offer...
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This paper focuses on the design of high performance torque control drive system for legged robots. Achieving robust torque response performance is essential for the motors employed in these robots. Considering differ...
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ISBN:
(纸本)9798350307542;9798350307535
This paper focuses on the design of high performance torque control drive system for legged robots. Achieving robust torque response performance is essential for the motors employed in these robots. Considering different transmission configurations, we introduce two distinct inertia models: one-mass system and two-mass system. For the case of a one-mass system, we design a current loop control strategy based on the Dead-Beat control (DBC), which achieves faster torque response. In the context of the two-mass system, we propose a Model Predictive control (MPC) method to effectively enforce constraints on both electromagnetic torque and shaft torque. Subsequently, we conduct separate experimental validations for these two proposed models, leading to superior performance as compared to traditional methods.
Tracked robots with reconfigurable mechanisms exhibit great maneuverability due to their adaptability to complex ground conditions. Reconfigurable tracked robots with geometry-changing tracks show further obstacle-cro...
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ISBN:
(纸本)9798350377712;9798350377705
Tracked robots with reconfigurable mechanisms exhibit great maneuverability due to their adaptability to complex ground conditions. Reconfigurable tracked robots with geometry-changing tracks show further obstacle-crossing capabilities with compact dimensions. However, existing systems face deployment limitations due to either complex transmission mechanisms or unsustainable designs when maintaining the tension in the tracks. To address these challenges, we introduce a novel design of a reconfigurable tracked robot with geometry-changing tracks, which achieves strong terrain traversability with good mechanical properties. We achieve the elliptical trajectory of key planetary wheels through a novel Quadslider Elliptical Trammel Mechanism (Qs-ETM), allowing the tracks to maintain fixed tension while changing their geometry. Furthermore, the combination of direct drive motors significantly enhances its mechanical properties and agility. A detailed analysis of the kinematic and dynamic characteristics has been conducted and proved with a series of simulations. We built a fully functional prototype of the design and tested it in real-world experiments to validate its advantages. The result shows that our design can reduce the torque required by up to 68.3% and the shear stress of the flipper by up to 67.1%.
Embodied intelligence technology belongs to artificial intelligence (AI) technology, which is one of the embodiments. Compared to traditional operation robots, the greatest advancement of intelligent operation robots ...
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China has entered an aging society. More and more attention has been paid to the monitoring of the elderly at home. This paper presents a simplified Boulic walking model based on the walking gait of the elderly. A rad...
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Traditional control methods for the coagulation process in water treatment plants are often inefficient and costly. In this paper, a data-driven coagulant dosage prediction model is introduced using an optimization fr...
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This paper is concerned with the distributed optimal coordination problems of microgrid systems over unbalanced digraph where the microgrid systems aim to schedule the active power outputs of the systems to meet the g...
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