This paper addresses the challenge of guiding a flexible needle from its entry point to a target location through an obstacle-laden environment. To achieve this, we propose a path planning approach grounded in an enha...
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This paper addresses the challenge of guiding a flexible needle from its entry point to a target location through an obstacle-laden environment. To achieve this, we propose a path planning approach grounded in an enhanced particleswarm optimization algorithm (PSO). Our method uses the number and angle of needle rotations to govern the flexible needle's movement. By optimizing for parameters such as path length, distance from obstacles, and needle rotation, we transform the flexible needle puncture path planning problem into a multi-objective optimization task. The optimal path is determined by assigning distinct weights to these four optimization objectives and solving them using the improved PSO algorithm. To demonstrate the effectiveness and practicality of our approach, we conduct MATLAB simulations and compare the results with the unimproved PSO algorithm and the rapidly-exploring random trees algorithm.
Integrated Electricity-Gas System (IEGS) is an important carrier to achieve a high proportion of renewable energy consumption and improve terminal energy efficiency. In this paper, aiming at the problem that the model...
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Integrated Electricity-Gas System (IEGS) is an important carrier to achieve a high proportion of renewable energy consumption and improve terminal energy efficiency. In this paper, aiming at the problem that the modeling of the power-to-gas (P2G) link in IEGS is not refined enough and its low-carbon nature has not been fully explored, this paper firstly establishes the IEGS optimal dispatching model of coupling gas unit and P2G link, and studies the impact of different constraints such as power system constraints and natural gas constraints on the model to absorb wind power. Secondly, the dynamic characteristics of the P2G link are analyzed, the scheduling model is further modified, and an IEGS optimized scheduling model that takes into account the operating characteristics of the P2G link is established. Thirdly, considering the impact of carbon trading mechanism on IEGS scheduling model, an IEGS optimized scheduling model that takes into account the operating characteristics of carbon trading and P2G links is established to explore its low-carbon characteristics. Finally, the model is solved based on a typical IEGS with 6 electricity nodes and 7 natural gas nodes, and the simulation results verify the effectiveness and low-carbon nature of the proposed model.
With the rapid development of cloud computing technology, more and more applications are migrating to the cloud. In the field of education, it has become a trend to use cloud computing technology to improve teaching e...
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Temperature monitoring is essential to ensure the operational safety of fusion devices in the ultra-low temperature liquid helium region. However, the unavoidable errors caused by environmental effects severely hinder...
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