Analysis of anti-slip control system and dynamic performance of mechanical engineering drive based on improved social engineering algorithm
DOI:
https://doi.org/10.4108/ew.3715Keywords:
disassembly line equalization, social engineering algorithm, green design, green productionAbstract
INTRODUCTION: The field of mechanical engineering technology is an emerging technology field with many research directions, and there are many directions of intersection with other disciplines, among which the field of mechanical engineering has outstanding research advantages. With the continuous development of mechanical engineering technology, the research direction of mechanical engineering applied to the field of mechanical engineering is also continuously enriched and developed. Mechanical engineering research focuses on realizing the monitoring and control of the dynamic performance of mechanical systems, as well as realizing the integration of design and system control.
OBJECTIVES: In order to improve the disassembly efficiency, reduce the disassembly cost and disassembly energy consumption, it is optimized using social engineering methods to achieve better results and reduce the disassembly cost and energy consumption.
METHODS: Aiming at the drive and anti-skid control strategy of four-wheel hub motor, it was simulated using improved social engineering algorithms, and based on this, three road recognition algorithms were selected for low, medium, and high adhesion road verification.
RESULTS: Through the study of automobile anti-skid control system, the basic structure of automobile anti-skid control system is summarized and some solution measures are proposed. A new type of drive anti-skid control system is proposed for the problems of high vibration and noise of automobile brake. The drive anti-slip control system is characterized by simple structure, easy maintenance, simple control and reliable operation, and high operation efficiency.
CONCLUSION: This study shows that the system not only has excellent drive anti-slip effect, but also has good control performance. In addition, this drive anti-slip system is able to ensure the safe and reliable operation of mechanical brakes in various harsh environments. This new drive anti-slip control system is a new type of drive device that can be widely used for driving force on various mechanical brakes and drive wheels, and the study of this device is of great significance.
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Luo Fei,Chen Hongsheng,Wei Nan. Study on dynamic characteristics of flexible feed system by mechanical parameters. Journal of Physics: Conference Series,2022,2338(1). DOI: https://doi.org/10.1088/1742-6596/2338/1/012056
Xie Xin,Zheng Jieji,Tan Ruoyu,Li Baoyu,Yu Bin,Fan Dapeng. Research on mechanical resonance of Precise cable drive systems. Journal of Physics: Conference Series,2022,2338(1). DOI: https://doi.org/10.1088/1742-6596/2338/1/012093
Liu Lin,Guo Youguang,Yin Wenliang,Lei Gang,Zhu Jianguo. Design and Optimization Technologies of Permanent Magnet Machines and Drive Systems Based on Digital Twin Model. Energies,2022,15(17). DOI: https://doi.org/10.3390/en15176186
Anđelić Nikola,Lorencin Ivan,Glučina Matko,Car Zlatan. Mean Phase Voltages and Duty Cycles Estimation of a Three-Phase Inverter in a Drive System Using Machine Learning Algorithms. Electronics,2022,11(16). DOI: https://doi.org/10.3390/electronics11162623
Wang Zhong Lin. Maxwell’s equations for a mechano-driven, shape-deformable, charged-media system, slowly moving at an arbitrary velocity field (,t). Journal of Physics Communications,2022,6(8). DOI: https://doi.org/10.1088/2399-6528/ac871e
Zhang Chengliang,Li Changpu,Zhao Chunzhao,Li Lei,Gao Guanlei,Chen Xiyuan. Design of Hydrostatic Chassis Drive System for Large Plant Protection Machine. Agriculture,2022,12(8). DOI: https://doi.org/10.3390/agriculture12081118
Baek Kyeong Yoon,Lee Woocheol,Lee Jonghoon,Kim Jaeyoung,Ahn Heebeom,Kim Jae Il,Kim Junwoo,Lim Hyungbin,Shin Jiwon,Ko Yoon Joo,Lee Hyeon Dong,Friend Richard H.,Lee Tae Woo,Lee Jeongjae,Kang Keehoon,Lee Takhee. Mechanochemistry-driven engineering of 0D/3D heterostructure for designing highly luminescent Cs–Pb–Br perovskites. Nature Communications,2022,13(1). DOI: https://doi.org/10.1038/s41467-022-31924-x
Henry Katharine E.,Adams Roy,Parent Cassandra,Soleimani Hossein,Sridharan Anirudh,Johnson Lauren,Hager David N.,Cosgrove Sara E.,Markowski Andrew,Klein Eili Y.,Chen Edward S.,Saheed Mustapha O.,Henley Maureen,Miranda Sheila,Houston Katrina,Linton Robert C.,Ahluwalia Anushree R.,Wu Albert W.,Saria Suchi. Factors driving provider adoption of the TREWS machine learning-based early warning system and its effects on sepsis treatment timing. Nature Medicine,2022,28(7). DOI: https://doi.org/10.1038/s41591-022-01895-z
Munir Akhtar,Abbas Muqaddar,Xianlong Gao,Ziauddin. Tunable slow and fast light in an atom-assisted hybrid system via external mechanical driving force. The European Physical Journal Plus,2022,137(7). DOI: https://doi.org/10.1140/epjp/s13360-022-02990-3
Cieśluk Mateusz,Pogoda Katarzyna,Piktel Ewelina,Wnorowska Urszula,Deptuła Piotr,Bucki Robert. Mechanical Properties of the Extracellular Environment of Human Brain Cells Drive the Effectiveness of Drugs in Fighting Central Nervous System Cancers. Brain Sciences,2022,12(7). DOI: https://doi.org/10.3390/brainsci12070927
Kędzia Krzysztof. A Method of Determining Optimal Parameters for the Secondary Energy Source of a Multisource Hydrostatic Drive System in Machines Working in Closed Spaces. Energies,2022,15(14). DOI: https://doi.org/10.3390/en15145132
Ding Feng,Huang Jian,Xu WenXia,Yang Chenguang,Sun Chong,Ai Yong. Dynamic surface control with a nonlinear disturbance observer for multi‐degree of freedom underactuated mechanical systems. International Journal of Robust and Nonlinear Control,2022,32(14). DOI: https://doi.org/10.1002/rnc.6275
Zhang Xiaohui,Du Qianzhou,Zhang Zhongju. A theory‐driven machine learning system for financial disinformation detection. Production and Operations Management,2022,31(8). DOI: https://doi.org/10.1111/poms.13743
Hu Hongjin,Wang Haoze,Liu Kun,Wei Jingbo,Shen Xiangjie. A Simplified Space Vector Pulse Width Modulation Algorithm of a High-Speed Permanent Magnet Synchronous Machine Drive for a Flywheel Energy Storage System. Energies,2022,15(11). DOI: https://doi.org/10.3390/en15114065
Sun Xue-Jian,Liu Wen-Xiao,Chen Hao,Wang Cheng-Yuan,Ma Hui-Zhong,Li Hong-Rong. Protected two-qubit entangling gate with mechanical driven continuous dynamical decoupling. Communications in Theoretical Physics,2022,74(6). DOI: https://doi.org/10.1088/1572-9494/ac69c5
Wu Hongyu,Zhang Yuling,Yan Shaoze. Effect of driving functions with different jerk and accelerating time length on dynamic performance for mechanical systems: analysis and optimization. Journal of Mechanical Science and Technology,2022,36(5). DOI: https://doi.org/10.1007/s12206-022-0406-1
Wang Chao,Wang Jie,Agarwal Ravi P.,Li Zhien. Almost Anti-Periodic Discrete Oscillation of General N-Dimensional Mechanical System and Underactuated Euler-Lagrange System. Applied Sciences,2022,12(4). DOI: https://doi.org/10.3390/app12041991
Cheng Zhun,Lu Zhixiong. Research on Dynamic Load Characteristics of Advanced Variable Speed Drive System for Agricultural Machinery during Engagement. Agriculture,2022,12(2). DOI: https://doi.org/10.3390/agriculture12020161
An Haizhen,Liu Min,Zhen Penghou,Chen Li. Experimental Research on Rubber Compatibility of Drive Train oils used in Construction Machinery. Journal of Physics: Conference Series,2021,2125(1). DOI: https://doi.org/10.1088/1742-6596/2125/1/012018
Yu Yudina N,Yudin R V,Maksimenkov A I. Simulation of loading dynamics and hydrodynamics of drives of forest machine working bodies. IOP Conference Series: Earth and Environmental Science,2021,875(1). DOI: https://doi.org/10.1088/1755-1315/875/1/012060
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