Performance analysis of vehicle magnetorheological semi-active air suspension based on S-QFSMC control

被引：4

作者：

Li, Gang ^{[1
,2
]}

Gan, Yu ^{[1
,2
]}

Liu, Qianjie ^{[1
,2
]}

Xu, Han ^{[1
,2
]}

Chen, Dianfeng ^{[1
,2
]}

Zhong, Lin ^{[1
,2
]}

Deng, Jianming ^{[3
]}

Hu, Guoliang ^{[1
,2
]}

机构：

[1] East China Jiaotong Univ, Key Lab Vehicle Intelligent Equipment & Control Na, Nanchang, Peoples R China

[2] East China Jiaotong Univ, Minist Educ, Key Lab Transport Tools & Equipment, Nanchang, Peoples R China

[3] Jiangxi Wushiling Automobile Co Ltd, Prod Dev Technol Ctr, Nanchang, Peoples R China

来源：

FRONTIERS IN MATERIALS | 2024年 / 11卷

基金：

中国国家自然科学基金;

关键词：

semi-active air suspension; magneto-rheological damper; time delay; quantum genetic algorithm; sliding mode control; TRACTOR; DESIGN;

D O I：

10.3389/fmats.2024.1358319

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The performance of the suspension is a crucial criterion for evaluating both vehicle handling and passenger comfort. To enhance suspension performance, this study proposes the design of a Quantum Genetic Fuzzy Sliding Mode Controller (S-QFSMC) based on the Smith predictor estimator, building upon the foundation of the vehicle magneto-rheological semi-active air suspension. According to the physical model of the vehicle suspension, a mechanical model of a quarter-vehicle magneto-rheological semi-active air suspension with time delay is established. On this basis, a conventional sliding mode controller is designed, and quantum genetic algorithm and fuzzy control principles are employed to optimize the chattering issue associated with sliding mode control. The Smith predictor estimator is utilized to effectively compensate for the time delay in the suspension system. Subsequently, a simulation analysis of the vehicle suspension performance is conducted. The results indicate that, compared to passive suspension control, both the QFSMC controller and the S-QFSMC controller improve the suspension performance, with the S-QFSMC controller exhibiting superior comprehensive improvement. This validates the effectiveness of the designed controllers.

引用

页数：12

共 50 条

[21] Experimental Study on a Semi-Active Magnetorheological Suspension [J].

Peng Z. ;

Zhang J. ;

Fu X. .

Peng, Zhizhao (zhizhao8593@139.com), 2018, SAE-China (40) :561-567

[22] Negative stiffness based control strategy of vehicle semi-active suspension [J].

Wang, Wei-Rui ;

Wu, Can ;

Pan, Shuang-Xia ;

Feng, Pei-En .

Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science), 2009, 43 (06) :1129-1133

[23] Research on the Fuzzy Control for Vehicle Semi-active Suspension [J].

Hu, Xiaoming ;

Li, Wanli .

ADVANCED MATERIALS AND ENGINEERING MATERIALS II, 2013, 683 :716-719

[24] Full Vehicle Experimental Testing of Semi-active Suspension Equipped with Magnetorheological Dampers [J].

Xu, Tiancheng ;

Wang, Huixing ;

Li, Yancheng ;

Leng, DengXin ;

Xu, Hanou .

2023 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS, AIM, 2023, :495-500

[25] Research on virtual prototyping system for ground vehicle with magnetorheological semi-active suspension [J].

Deng, ZX ;

Fang, ZF ;

Zhu, ZG ;

Zhu, M .

SMART MATERIALS FOR ENGINEERING AND BIOMEDICAL APPLICATIONS, PROCEEDINGS, 2004, :413-419

[26] Design and test of semi-active air suspension system of vehicle [J].

Wang, Ruochen ;

Chen, Long ;

Zhang, Xiaoliang ;

Zhu, Xinghua .

Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery, 2012, 43 (04) :6-9+136

[27] Performance evaluation of a novel semi-active absorption and isolation co-control strategy with magnetorheological seat suspension for commercial vehicle [J].

Li, Pingyang ;

Dong, Xiaomin ;

Ran, Jinchao ;

Fei, Zhenyang ;

Wu, Lifan ;

Xu, Di .

SMART MATERIALS AND STRUCTURES, 2024, 33 (10)

[28] Design of Semi-active Air suspension System Based on Backstepping Sliding Mode Control [J].

Wang, Jun-ying ;

Sun, Li-ying .

2017 CHINESE AUTOMATION CONGRESS (CAC), 2017, :4378-4382

[29] Study on Semi-Active Suspension System Simulation Based on Magnetorheological Damper [J].

Liu Haibo ;

Yang Jianwei .

ICICTA: 2009 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION, VOL II, PROCEEDINGS, 2009, :936-939

[30] Optimization of Semi-active Seat Suspension with Magnetorheological Damper [J].

Segla, Stefan ;

Kajaste, J. ;

Keski-Honkola, P. .

VIBRATION PROBLEMS ICOVP 2011, 2011, 139 :393-398

← 1 2 3 4 5 →