COUPLING INFLUENCE AND DECOUPLING OF THE SECONDARY REGULATION LOAD SIMULATION TEST EQUIPMENT FOR THE DRIVE AXLE OF HEAVY VEHICLE

Abstract

Abstract: The influence of hydraulic and mechanical coupling on control property is analyzed in the secondary regulation load simulation test equipment for the drive axle of heavy vehicle. Simulation shows that disturbance error caused by mechanical coupling between the speed control subsystem to simulate the drive and the torque control subsystem to simulate the loads on the secondary axle and wheel edges are comparatively large and may obviously decrease the control accuracy of the whole system. Certain decoupling control elements can be installed to the system so as to make each subsystem almost independent of each other, realize decoupling of secondary regulation load simulation system, eliminate deteriorating effect of coupling and finally quite improve control property. The decoupling strategy proposed provides an efficient way to realize decoupling control of the secondary regulation load simulation test equipment and to enhance its performance.

Key words: Decoupling control, Drive axle, Hydraulic coupling, Load simulation, Mechanical coupling, Secondary regulation, Acoustic emission, Crack, Neural network, Resistance spot welding

CLC Number:

TP273.2

Wang Hui;Li Hongren. COUPLING INFLUENCE AND DECOUPLING OF THE SECONDARY REGULATION LOAD SIMULATION TEST EQUIPMENT FOR THE DRIVE AXLE OF HEAVY VEHICLE[J]. , 2004, 40(6): 19-22.

Add to citation manager EndNote|Reference Manager|ProCite|BibTeX|RefWorks

URL: http://www.cjmenet.com.cn/EN/

http://www.cjmenet.com.cn/EN/Y2004/V40/I6/19

[1]	LI Haoran, ZHOU Haichao, WANG Guolin, ZHANG Rongyun, ZHAO Chunlai. Road Friction Coefficient and Tire Cornering Characteristics Parameters Estimation Based on PMSM Sensorless Control [J]. Journal of Mechanical Engineering, 2026, 62(8): 196-209.
[2]	LI Bo, GUO Jinfei, BEI Shaoyi, XU Nan. Research on Lane Water Accumulation Using Intelligent Tire with Embedded Accelerometer [J]. Journal of Mechanical Engineering, 2026, 62(8): 210-220.
[3]	LIU Wei, WANG Ruochen, DING Renkai, SUN Dong, CHEN Yijie, GUO Zhongyang. Construction of Electromechanical Coupling Model and Analysis of Negative Vibration Effects for In-wheel Motor-driven Electric Vehicles [J]. Journal of Mechanical Engineering, 2026, 62(8): 272-284.
[4]	WANG Yuxiang, GAO Yang, JIANG Enchao, DONG Na, CHEN Xudong, PENG Fan, WANG Liwen. Wind Turbine Blade Health Monitoring Method Based on GAF-MACNN [J]. Journal of Mechanical Engineering, 2026, 62(7): 139-149.
[5]	LUO Zhong, LI Hongyu, LI Lei, DONG Yinzhe. Real-time Prediction Method for Response of Difficult-to-measure Points of Rotor System Under Variable Working Conditions Driven by Digital Twin [J]. Journal of Mechanical Engineering, 2026, 62(7): 221-233.
[6]	JIA Kangkang, DU Junmin, CHEN Feiyu, SHI Jianwei, HOU Guoyi, LI Cheng. AM-1DCNN Based Automatic Recognition of Mechanical Damage in Composite Material [J]. Journal of Mechanical Engineering, 2026, 62(6): 247-256.
[7]	SHI Nannan, GAO Haitao, TANG Leqian, KONG Charlie, YU Hailiang. Investigation on AA7075 Strips Subjected to Cryorolling and Cryogenic Treatment and Their Fatigue Crack Propagation Performance [J]. Journal of Mechanical Engineering, 2026, 62(6): 47-64.
[8]	WU Jinhui, CHEN Yongchang, WU Yanan, HAO Huiqian, YUAN Xiang, TAO Yourui. A Digital Twin-driven Approach for Operational Status Monitoring and Virtual Debugging of Reflector Antennas [J]. Journal of Mechanical Engineering, 2026, 62(5): 263-273.
[9]	Lü Mohan, ZHAO Shen, GAO Xiao, LI Xiaoyu. Multi-regional Seasonal Temperature Variations Considered Battery State of Health Estimation for New Energy Vehicles Based on Real-world Operation Data [J]. Journal of Mechanical Engineering, 2026, 62(4): 283-295.
[10]	CHEN Wenting, WANG Wenlong, ZHANG Zhen, AI Chao, ZHANG Jiarui, DU Zeli. Study on Variable Speed Constant Frequency Control of Pump-motor Systems Considering Slow Time-varying Parameters [J]. Journal of Mechanical Engineering, 2026, 62(2): 455-470.
[11]	LIU Xin, LI Feihu, LIU Kai, WAN Jun. Reliability Approach for Topside Structure of Bucket Wheel Stacker Reclaimer Based on Convolutional Neural Network [J]. Journal of Mechanical Engineering, 2026, 62(2): 471-480.
[12]	PANG Yuanlong, LI Chuanyang, HU Changhua, ZHANG Zeming, LENG Mingzhe, WANG Zhaoqiang. Design and Control of a Test Bench with Linear Loading Electric Servo Mechanism [J]. Journal of Mechanical Engineering, 2026, 62(1): 229-240.
[13]	LI Yumei, CHEN Jian, LI Yaguan, CHEN Yunzhi, NIE Zhenguo. 3D Global Residual Stress Field Prediction of Direct Energy Deposition Workpiece Based on Graph Neural Networks [J]. Journal of Mechanical Engineering, 2026, 62(1): 421-435.
[14]	WU Xuanyu, LOU Shanhe, HONG Zhaoxi, SI Hengyuan, ZHANG Zhifeng, FENG Yixiong, TAN Jianrong. Research on Design Requirements Analysis for Essential Service Water System of Nuclear Power Driven by Hybrid-augmented Intelligence [J]. Journal of Mechanical Engineering, 2025, 61(9): 383-401.
[15]	WANG Qi, YE Renchuan, MA Guojie, MA Peijue, FAN Jie, YANG Wenlong. Lightweight Surface Defect Detection Method of Steel [J]. Journal of Mechanical Engineering, 2025, 61(8): 18-31.

COUPLING INFLUENCE AND DECOUPLING OF THE SECONDARY REGULATION LOAD SIMULATION TEST EQUIPMENT FOR THE DRIVE AXLE OF HEAVY VEHICLE

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments