With extensive access to renewables, the inertia of microgrid is significantly reduced, which in turn puts forward higher requirements for the frequency stability of the system. In this paper, a frequency control meth...
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Polymer-based optical sensors, renowned for their flexibility and stretchability, have found extensive application as displacement sensors in the soft robotics and wearable robotics. Emitting from LEDs, light traverse...
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ISBN:
(纸本)9798331517939;9788993215380
Polymer-based optical sensors, renowned for their flexibility and stretchability, have found extensive application as displacement sensors in the soft robotics and wearable robotics. Emitting from LEDs, light traverses through a transparent and flexible polymer core, thereby modulating the intensity of light detected by photodiodes contingent upon alterations in the core's cross-sectional area induced by sensor deformation. Due to its polymer composition, it offers flexibility, enabling free deformation, while its ability to measure light intensity demonstrates immunity to external magnetic and electric fields. In this study, a novel haptic sensor was devised by integrating color filters into polymer-based optical sensors to detect specific wavelengths from the LED's initial spectrum. Pressing of Red, Green, and Blue color filters enclosing the core enables light transmission through the filters. The spectrometer detects wavelengths ranging from 415nm to 680nm through eight channels, sufficiently covering the visible spectrum. Furthermore, it was ascertained that wavelength classification by color filters remains unaffected even with a decrease in initial intensity of light due to sensor deformation. Hence, the application of this sensor in wearable robotics or soft robotics is envisaged to facilitate simultaneous displacement measurement and haptic feedback, enhancing control and measurement capabilities.
Rapid evolution is underway in the fields of nature language processing and robotics. Our research endeavors to integrate Large Language Models (LLMs) with imitation learning, aiming to enhance the efficiency of actio...
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Due to the inherent unpredictability of ocean waves, an advanced control technique is required to maximize power capture and improve the efficacy of wave energy converters (WECs). This paper investigates three differe...
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To solve the problem of trajectory tracking control when the acupuncture robot performs treatments, a terminal sliding mode controller which is based on RBF neural network was designed. Firstly, the acupuncture robot ...
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To address the issue of trajectory tracking under dynamic wave disturbances, this study proposes a nonlinear model predictive control method based on disturbance observer (DO-NMPC). The disturbance observer performs o...
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ISBN:
(纸本)9789819607976;9789819607983
To address the issue of trajectory tracking under dynamic wave disturbances, this study proposes a nonlinear model predictive control method based on disturbance observer (DO-NMPC). The disturbance observer performs online observation of the generalized disturbance forces encountered by the unmanned platform during its motion, estimating the loads caused by wave disturbances in real-time. This information is used for active compensation in the model predictive control algorithm, enabling the control system to actively suppress wave disturbances related to unmodeled dynamics that cannot be measured. Simulation tests were conducted to compare the performance of the proposed DO-NMPC control strategy with the LQR control strategy in tracking straight-line and rotational trajectories on the water surface under wave disturbances. The simulation results validate the robustness and advantages of the proposed control strategy.
Mimicking of human-like arm movement characteristics involves considering three factors during control policy synthesis: (a) task requirements, (b) noise during movement execution, and (c) optimality principles. Previ...
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ISBN:
(纸本)9798350386523;9798350386530
Mimicking of human-like arm movement characteristics involves considering three factors during control policy synthesis: (a) task requirements, (b) noise during movement execution, and (c) optimality principles. Previous studies showed that when these factors (a-c) are considered individually, it is possible to synthesize arm movements that either kinematically match experimental data or reproduce the stereotypical triphasic muscle activation pattern. However, no quantitative comparison has assessed the realism of arm movements generated by each factor, nor has it been determined whether combining these factors results in movements with human-like kinematic characteristics and the triphasic muscle pattern. To investigate this, we used reinforcement learning to learn a control policy for a musculoskeletal arm model, aiming to discern which combination of factors (a-c) results in realistic arm movements according to four frequently reported stereotypical characteristics. Our findings indicate that incorporating velocity and acceleration requirements into the reaching task, employing reward terms that minimize mechanical work, hand jerk, and control effort, along with the inclusion of noise during movement, leads to realistic human arm movements by reinforcement learning. We expect that the gained insights will help in the future to better predict desired arm movements and corrective forces in wearable assistive devices.
The proceedings contain 50 papers. The topics discussed include: Space-based measurement and control system: satellite communication channel optimization and network security synergy technology;research on collaborati...
ISBN:
(纸本)9798331511296
The proceedings contain 50 papers. The topics discussed include: Space-based measurement and control system: satellite communication channel optimization and network security synergy technology;research on collaborative decision making mechanism for helicopter rescue tasks based on intelligent computing;research on deep learning model for real-time data processing of brain-computer interface system;innovative applications of human-computer interaction technology in software development;research on the application of the bionic ant path planning algorithm in robot navigation;research on the human-machine collaborative optimization algorithm for intelligent traffic signal control systems;and design of precision planetary gear reducer for industrial robot joints optimized through the combination of genetic algorithm and ant colony algorithm.
Mining at the problems of short range and incomplete charging facilities of electric vehicles, a sunshade device and intelligentcontrol system for electric vehicles have been designed. This device can charge electric...
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ISBN:
(纸本)9798350351040;9798350351033
Mining at the problems of short range and incomplete charging facilities of electric vehicles, a sunshade device and intelligentcontrol system for electric vehicles have been designed. This device can charge electric vehicles when they are parked outdoors and has efficient photovoltaic power generation, which can meet the urgent needs of charging while also providing insulation and shading. This device collects and analyzes data in real-time through various sensors and intelligentcontrol systems, achieving automatic and safe deployment of solar panels on the root In addition, the lower layer of the panel adopts thermal radiation coating materials to enhance the sun shading and thermal insulation effect, achieving an integrated energy harvesting and sun shading device.
This paper proposes a discrete control scheme based on performance-prescribed dynamic surface technology for adaptive neural network with implicit inverse compensation to address the control problem of dielectric elas...
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