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<title cf:type="text"><![CDATA[Editorial department of the Journal of National University of Defense Technology -->Mechanical Engineering · Control Science and Engineering · Materials Science and Engineering]]></title>
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<title xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="text"><![CDATA[Attitude control of propeller-fin cooperative propulsion for underwater robot]]></title>
<link><![CDATA[http://journal.nudt.edu.cn/gfkjdxxben/article/abstract/202406020]]></link>
<description xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="html"><![CDATA[In order to improve the maneuverability and stability of underwater robots, a novel underwater robot driven by quadrotor and undulating fin was developed and its attitude control algorithm was proposed. The kinematics and dynamics model of cooperative propulsion by the propellers and the fin was established. The resistance coefficient was obtained by fluid numerical simulation. And the six-degree-of-freedom dynamic model of the robot was constructed. The attitude control strategy using hybrid drive of propellers and fin was proposed. A four degrees of freedom cascade proportional-integral-derivative controller and a control allocation algorithm were designed. The simulation model was established in MATLAB/Simulink software, in which pose curves in fixed depth cruise motion, heave motion and pivot steering motion were simulated and analysed. In addition, the influence of random interference on attitude control was simulated. Experimental results show that the robot has good attitude control performance. At the maximum undulating frequency, the attitude angle error of the prototype is less than ±4°; and the depth error is less than ±5 cm. The simulation and experimental results verify the feasibility of the novel underwater robot and the attitude control algorithm of propeller-fin cooperative propulsion.]]></description>
<pubDate>2024/12/2 0:00:00</pubDate>
<category><![CDATA[Mechanical Engineering · Control Science and Engineering · Materials Science and Engineering]]></category>
<author><![CDATA[XIA Minghai, SHANG Jianzhong, YIN Qian, ZENG Xiaofeng, XU Yuze, LUO Zirong]]></author>
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<atom:name>XIA Minghai, SHANG Jianzhong, YIN Qian, ZENG Xiaofeng, XU Yuze, LUO Zirong</atom:name>
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<title xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="text"><![CDATA[Optimal control design method for missile three-loop autopilot]]></title>
<link><![CDATA[http://journal.nudt.edu.cn/gfkjdxxben/article/abstract/202406021]]></link>
<description xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="html"><![CDATA[To optimize the design process of an autopilot and find the optimal design parameters, a new design method based on optimal control for a three-loop autopilot was proposed. It generates a three-loop autopilot topology by designing the cost function of the optimal control problem, and obtains multiple parameters of the three-loop autopilot by solving the optimal control problem. The impact of penalty weights in the cost function on the performance indicators of the autopilot was further studied and analyzed. Experimental results show that the three-loop autopilot designed by optimal control method has better performance compared with traditional design methods. And it also has good robustness against model-parameter uncertainties and unmodeled high-frequency dynamics of the system.]]></description>
<pubDate>2024/12/2 0:00:00</pubDate>
<category><![CDATA[Mechanical Engineering · Control Science and Engineering · Materials Science and Engineering]]></category>
<author><![CDATA[XU Wanying, ZHENG Yongbin, BAI Shengjian, ZHANG Wei]]></author>
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<atom:name>XU Wanying, ZHENG Yongbin, BAI Shengjian, ZHANG Wei</atom:name>
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<title xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="text"><![CDATA[Application of improved brain storm optimization in multi-AUVs cooperative search moving targets]]></title>
<link><![CDATA[http://journal.nudt.edu.cn/gfkjdxxben/article/abstract/202406022]]></link>
<description xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="html"><![CDATA[A cooperative search method of multiple AUV (autonomous underwater vehicle) on the basis of improved BSO (brain storm optimization) algorithm was proposed to search underwater moving targets. The target motion was predicted on the basis of Markov process, both the detection information and prediction information were used to update the target existence probability. AUVs shared the target existence probability, environmental uncertainty, and the coordination of pheromones, then planed the search path by rolling optimization strategy. The effectiveness and robustness of the proposed method were verified by simulation. The simulation results show that the method can search moving targets under different motion patterns, the search effect is better than the random algorithm, traversal algorithm and BSO algorithm, it is not sensitive to different initial departure positions of AUVs, improving the flexibility of tactical use.]]></description>
<pubDate>2024/12/2 0:00:00</pubDate>
<category><![CDATA[Mechanical Engineering · Control Science and Engineering · Materials Science and Engineering]]></category>
<author><![CDATA[GAO Yongqi, WANG Peng, MA Weiqiang]]></author>
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<atom:name>GAO Yongqi, WANG Peng, MA Weiqiang</atom:name>
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<guid><![CDATA[http://journal.nudt.edu.cn/gfkjdxxben/article/abstract/202406022]]></guid><cfi:id>4</cfi:id><cfi:read>true</cfi:read></item>
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<title xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="text"><![CDATA[High-rate pulse charging characteristics of lithium-ion batteries under different state of charge]]></title>
<link><![CDATA[http://journal.nudt.edu.cn/gfkjdxxben/article/abstract/202406023]]></link>
<description xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="html"><![CDATA[In order to further expand the application range of lithium batteries, the high-rate pulse charging characteristics of lithium-ion batteries in different state of charge were studied based on the high-power energy recovery in electromagnetic launch scenarios. Based on the pseudo-two-dimensions electrochemical model, a high-rate pulse charging model of high-power lithium batteries was established by optimizing the diffusion coefficient. This model was used to analyze the variation of lithium deposition potential of lithium batteries charged by high-rate pulse with different state of charge. Through the cycling experiment and post-mortem analysis of lithium batteries, the aging behavior and aging mechanism of lithium batteries in different state of charge high-rate pulse charging were studied, and the aging mechanism is consistent with the simulation analysis results. The above research results can not only provide a reference for the application of lithium batteries in high-power energy recovery scenarios, but also provide a reference for the optimization of fast-charging lithium batteries.]]></description>
<pubDate>2024/12/2 0:00:00</pubDate>
<category><![CDATA[Mechanical Engineering · Control Science and Engineering · Materials Science and Engineering]]></category>
<author><![CDATA[LONG Xinlin, WU Yangyang]]></author>
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<atom:name>LONG Xinlin, WU Yangyang</atom:name>
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<title xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="text"><![CDATA[Improved design of piezoelectric injector actuator drive control circuit]]></title>
<link><![CDATA[http://journal.nudt.edu.cn/gfkjdxxben/article/abstract/202406024]]></link>
<description xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="html"><![CDATA[For the self-developed piezoelectric injector and actuator, a compensation control strategy based on voltage feedback was designed, a six-stage circuit driving mode was adopted, and the closed-loop compensation control of the driving voltage at both ends of the actuator inside the piezoelectric injector, charge and discharge process based on triangular waveform driving current were realized. It improved the utilization rate of circuit energy and reduced the peak current. At the same time, the drive circuit was tested. Test shows that the charging time is shortened by 0.06 ms, the discharge time is slightly shortened by 0.01 ms, the minimum pulse width for the actuator to reach the maximum displacement is shortened to 0.3 ms, and the peak current is reduced by 3 A, which verifies that the drive circuit has improved in response speed and safety.]]></description>
<pubDate>2024/12/2 0:00:00</pubDate>
<category><![CDATA[Mechanical Engineering · Control Science and Engineering · Materials Science and Engineering]]></category>
<author><![CDATA[LIU Nan, LIU Zhenming, TONG Dapeng]]></author>
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<atom:name>LIU Nan, LIU Zhenming, TONG Dapeng</atom:name>
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<title xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="text"><![CDATA[Coverage path planning algorithm for multi-area by truck-supported multi-UAV]]></title>
<link><![CDATA[http://journal.nudt.edu.cn/gfkjdxxben/article/abstract/202406025]]></link>
<description xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="html"><![CDATA[To study the application of UAVs (nmanned aerial vehicles) in area reconnaissance, a cooperation mode of truck-supported multi-UAV coverage reconnaissance and a collaborative path planning algorithm were proposed. With the goal of minimizing the task completion time, a mixed integer programming model was established considering the road constraints on the vehicle path and the energy constraints of the UAVs. A heuristic algorithm based on the idea of iterative relaxation was designed. In the test scene of 60 km<sup>2</sup>,16 target areas were randomly set. The proposed algorithm realizes the coverage path planning of the truck and the UAVs, and the total reconnaissance task time is 1.593 h, which verifies the feasibility of the vehicle supporting the multi-UAV mode and the effectiveness of the algorithm.]]></description>
<pubDate>2024/12/2 0:00:00</pubDate>
<category><![CDATA[Mechanical Engineering · Control Science and Engineering · Materials Science and Engineering]]></category>
<author><![CDATA[TIAN Shuangxi, CHEN Honghui, XU Binjie, WU Guohua]]></author>
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<atom:name>TIAN Shuangxi, CHEN Honghui, XU Binjie, WU Guohua</atom:name>
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