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    重庆理工大学学报(自然科学版)

    重庆理工大学学报(自然科学版)

    JournalISSN 1674-8425

    年发文量

    研究主题

    论文(13486)

    排序
    1Research on Grid Connection Control of Wind-Solar Energy Storage Hybrid Power Generation System
    ZHAO Yihao,ZHU Wei, GU Xiaoxing,WU Yuanwang

    The output power of the wind-solar energy storage hybrid power generation system shows wide fluctuations due to changes in irradiance and wind speed during grid-connected operation when using traditional control methods,affecting the power balance when connecting the power generation system with the electrical grid.To address the issue,a novel improved Perturb and Observe(P&O)method by fuzzy control algorithms is proposed to achieve tracking control of the maximum power point(MPPT)of the photovoltaic array under irradiance variations.Then,an optimal tip-speed ratio control strategy is employed to achieve maximum power point tracking control of the wind turbine under wind speed fluctuations.Charging and discharging of the batteries are controlled in real time based on the balance between power generation and grid power demand.In this way,grid voltage stability and power balance are maintained.Finally,to analyze the output power of each system,a combined wind-solar energy storage generation system model is built.Our results show the proposed method enables the power generation system to stably transmit electric power in a volatile wind-solar environment.

    2024
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    2Research of the Single‐rotor UAV Gimbal Vibration Test
    Guangchen Xu,Zhenliang Yu,Guangming Liu

    Abstract An experimental study was conducted to investigate the phenomenon of UAV attitude instability caused by large vibrations affecting single‐rotor UAV airborne equipment. Appropriate measurement points were selected to collect vibration signals from the unmanned aerial platform during takeoff and flight of the drone. The time‐domain response and power spectral density of the unmanned aerial platform were then obtained. Establish a dynamic model of the vibration reduction system for an unmanned aerial platform and design a two‐stage vibration reduction structure for the unmanned aerial platform. Through field flight tests of unmanned aerial vehicles, it has been demonstrated that the maximum time domain response of the platform after vibration reduction is 8.75 g (less than 50 g), and the maximum root mean square value of the power spectral density (PSD) is 1.82 g (less than 3 g). The designed secondary vibration reduction structure can serve as a reference for the design of vibration reduction in unmanned aerial vehicles.

    2023
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    3Extrinsic calibration method of solid-state lidar and camera using dual echo
    FENG Xin, LI Jie,YU Chongsheng,QIAN Jiye, HE Ying

    固态激光雷达和相机因产生的信息具有很强的互补性,被组合应用在多个领域.为了准确融合2 种传感器的信息,提出一种利用双回波的固态激光雷达与相机外参标定方法.首先,利用双回波将含噪声的边缘点云从原始标定板点云中去除,得到内点云.然后,基于内点云获取与标定板真实尺寸一致的角点特征.最后,建立点云中角点与图像中角点对应的约束条件,通过多点透视方法优化求解外参.实验结果表明,该方法的重投影误差和数据融合效果比现有方法更优,验证了有效性与准确性.

    2023
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    4Research on accuracy improvement of vehicle positioning and navigation with an improved support vector machine
    YUE Yujun,JIN Zhiyang,XU Shucai,SUN Chuan,LI Haoran

    车辆定位导航是实现智能车辆环境感知的基础,为解决智能车辆在SINS/GPS组合导航下误差问题,提出一种基于蚁群算法改进支持向量机的车辆定位导航精度提升方法.首先,使用状态变换扩展卡尔曼滤波对组合导航进行初步降噪;其次,运用支持向量机及神经网络辅助导航,解决组合导航中位置误差较大、对导航效果产生影响的问题;然后,通过蚁群算法改进支持向量机,对支持向量机核函数参数进行迭代优化;最后,在实车采集数据集下,与神经网络辅助进行对比.结果表明:在东北天3个方向上,神经网络降低误差均方根值的效果达到了72.88%、68.66%、63.87%,而改进支持向量机的效果达到了82.09%、79.62%、90.14%.改进支持向量机能够辅助优化组合导航位置误差,提升车辆定位导航精度.

    2023
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    5Research on PMSM control of sliding mode-PI hybrid control and decoupling compensation
    ZHU Longji, SHAO Hua

    针对传统滑模控制存在较大抖动和控制增益值导致启动电流过大等问题,提出一种新型趋近律的滑模-PI混合控制策略.在传统指数趋近律基础上,设计了新型混合趋近律解决系统的抖动问题,电机启动时,结合PI调节器降低启动电流.针对三相永磁同步电机中存在的凸极效应和模型误差对系统性能的影响,提出解耦电流PI控制策略.电流环引入前馈解耦补偿,通过内模控制方式对电流环参数进行整定以提高控制系统的鲁棒性和解耦性能.仿真和实验结果表明:所提出控制策略能提高控制精度和稳定性.

    2023
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    高被引作者

    作者引用发文
    Yunhua Lu13111
    JunAn Zhang13111
    Jiangling Tian13111
    Qingwei Zhang13111
    Yanjie Xu13111
    XueJun Quan42141
    Rui Liu3611
    Jinbo Zhang3611
    Xu Chen32830
    Linqing Liao28631

    高产作者

    作者引用发文
    XueJun Quan42141
    Lin Mi21431
    Linqing Liao28631
    GuoHong Deng22630
    Xu Chen32830
    Shan Li21328
    Chengbo Yu13927
    Xiaohui Shi21526
    Zhihua Lin6426
    Gang Lei24926

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