Fractional-order Fuzzy Control Method for Vehicle  Nonlinear Active Suspension

China Mechanical Engineering ›› 2015, Vol. 26 ›› Issue (10): 1403-1408.

Previous Articles Next Articles

Fractional-order Fuzzy Control Method for Vehicle Nonlinear Active Suspension

Gao Yuan1,3;Fan Jianwen2,3;Pan Shenghui1,3;Li Shan2;Kong Feng1

1.Guangxi University of Science and Technology,Liuzhou,Guangxi,545006
2.Lushan College of Guangxi University of Science and Technology,Liuzhou,545616
3.Guangxi Key Laboratory of Automobile Components and Vehicle Technology,Liuzhou,Guangxi,545006

Online:2015-05-25 Published:2015-05-26
Supported by:
Guangxi Provincial Natural Science Foundation of China(No.2013GXNSFAA019351,2010GXNSFA013024）;Guangxi Provincial Scientific Research Project of Ministry of Education of China（No. 201202ZD068,201204LX657）

汽车非线性主动悬架系统的分数阶模糊控制

高远1,3;范健文2,3;潘盛辉1,3;李珊2;孔峰1

1.广西科技大学,柳州,545006
2.广西科技大学鹿山学院,柳州,545616
3.广西汽车零部件与整车技术重点实验室,柳州,545006

基金资助:
广西自然科学基金资助项目(2013GXNSFAA019351,2010GXNSFA013024);广西教育厅科研项目(201202ZD068,201204LX657);广西高等学校特色专业及课程一体化建设项目(GXTSZY234)

Abstract

Abstract:

A fractional-order fuzzy control method was presented for vehicle nonlinear active suspension. This new scheme used a fractional-order differential signal as one of the control inputs, and the fractional order was obtained based on the minimum criteria of the suspension system comprehensive performance index function. Simulation results demonstrate that under the driving cycles with various grade roads and vehicle speeds, comparing with the traditional integral-order fuzzy control method, the presented method has better control performances including further reducing body acceleration, suspension travel and tyre deflection, and can improve the ride comfort and handling stability of vehicle effectively.

Key words: vehicle, nonlinear suspension, fractional-order, fuzzy control

摘要：

针对非线性主动悬架系统的控制问题，提出一种分数阶模糊控制方法。该方法采用分数阶微分信号作为模糊控制器输入,并根据悬架系统综合性能指标函数最小准则获得分数阶次。仿真结果表明：相比整数阶的模糊控制情形，即使车辆在不同车速和不同等级道路的行驶工况下，该分数阶模糊控制方法可以使得非线性悬架系统能够获得更优的控制效果，能进一步降低车身垂直振动加速度、动行程及轮胎形变，有效提高车辆的行驶平顺性和操纵稳定性。

关键词: 车辆, 非线性悬架, 分数阶, 模糊控制

CLC Number:

TP13
U463.33

Gao Yuan, Fan Jianwen, Pan Shenghui, Li Shan, Kong Feng. Fractional-order Fuzzy Control Method for Vehicle Nonlinear Active Suspension[J]. China Mechanical Engineering, 2015, 26(10): 1403-1408.

高远, 范健文, 潘盛辉, 李珊, 孔峰. 汽车非线性主动悬架系统的分数阶模糊控制[J]. 中国机械工程, 2015, 26(10): 1403-1408.

References

[1]高国生,杨绍普,郭京波.汽车悬架控制系统研究动态与展望[J].机械强度,2003,25(3):279-284.
[2]Verros G, Natsiavas S. Ride Dynamics of Nonlinear Vehicle Model Using Component Mode Synthesis[J]. Journal of Vibration and Acoustics, 2002, 124 (3) :427-434.
[3]周长城著.汽车平顺性与悬架系统设计[M].北京市:机械工业出版社,2011:309.
[4]Son S,Isik C. Application of Fuzzy Logic Control to an Automotive Active Suspension System[C]//Fuzzy Systems,Proceedings of the Fifth IEEE International Conference. New Orleans, La, USA, 1996, 1 : 548-553.
[5]Ozgur D, Ilknur K, Saban C. Modeling and Control a Nonlinear Half-vehicle Suspension System: A Hybrid Fuzzy Logic Approach[J]. Nonlinear Dynamics, 2012,67:2139-2151.
[6]冯宏娟,王守觉.直接修改控制规则的自调整模糊控制器[J].电子学报,1992,20(2):10-16.
[7]孙建民[1].基于LMS自适应滤波的模糊控制主动悬架研究[J].汽车工程,2004,26(4):472-475.
[8]Bohannan G W. Analog Fractional Order Controller in Temperature and Motor Control Applications[J]. J. Vib. Control, 2008, 14(9) :1487-1498.
[9]朱呈祥,邹云.分数阶控制研究综述[J].控制与决策,2009,24(2):161-169.
[10]Oustloup A, Moreau X, Nouillant M. The Crone Suspension Control Engineering Praetice[J]. Journal of The International Federation of Automatic Control, 1996,4(8) : 1101-1108.
[11]Altet O,Moreau X,Moze M, et al. Principles and Synthesis of Hydractive CRONE Suspension[J]. Nonlinear Dynamics, 2004, 38: 435-459.
[12]陈宁,陈南,王乃洲,等.基于分数阶参考模型的车辆悬架自适应控制[J].南京林业大学学报：自然科学版,2009(3):116-120.
[13]陈宁,台永鹏,陈南.分数微积分理论在非线性车辆悬架滑模控制中的应用[J].动力学与控制学报,2009,7(3):258-263.
[14]吴光强,黄焕军,叶光湖.基于分数阶微积分的汽车空气悬架半主动控制[J].农业机械学报,2014,45(7):19-25.
[15]Oldham B,Spanier J. The Fractional Calculus[M]. New York : Academic, 1974.
[16]Sakman L, Guclu R, Yagiz N. Fuzzy Logic Control of Vehicle Suspensions with Dry Friction Nonlin- earity[J]. Sadhan, 2005,30 (10): 649-659.
[17]韩峻峰,模糊控制技术[M].重庆:重庆大学出版社,2000.
[18]Demir O,Keskin I,Cetin S. Modeling and Control of a Nonlinear Half-vehicle Suspension System: a Hybrid Fuzzy Logic Approach[J]. Nonlinear Dyn. , 2012,67 : 2139-2151.
[19]薛定宇.控制系统计算机辅助设计[M].2版.北京:清华大学出版社,2006.
[20]喻凡.车辆动力学及其控制[M].北京:人民交通出版社,2003.

Fractional-order Fuzzy Control Method for Vehicle Nonlinear Active Suspension

汽车非线性主动悬架系统的分数阶模糊控制

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

[1]	LI Xixing, YANG Daoming, LI Xin, WU Rui, . Flexible Job Shop AGV Fusion Scheduling Method Based on HGWOA [J]. China Mechanical Engineering, 2021, 32(08): 938-950，986.
[2]	XIA Guang, LI Jiacheng, TANG Xiwen, ZHANG Yang, CHEN Wuwei. Reaserch on Anti-rollover Model Predictive Control of Counterbalanced Forklift Trucks [J]. China Mechanical Engineering, 2021, 32(08): 987-996.
[3]	GUO Wei, SUN Hongming, XU Gaofei, LI Guangwei, ZHOU Yue, WANG Minjian, . Improvements for Landing Impact Characteristics and Concentrated Stress Structures of Full Ocean Depth Landing Vehicles [J]. China Mechanical Engineering, 2021, 32(07): 867-874.
[4]	LIN Xinyou, ZHOU Binhao, XIA Yutian. Charging Path Planning Strategy of Electric Vehicles with Integrating Dynamic Energy Consumption and Network Information [J]. China Mechanical Engineering, 2021, 32(06): 705-713.
[5]	LIU Yong, ZHOU Yifan, XU Kaitong, JIANG Wei. New Variable Stiffness Vibration Isolation Method for Vehicle Power Packs [J]. China Mechanical Engineering, 2021, 32(06): 741-747,755.
[6]	WANG Zhiqiang, , LEI Zhenyu, . Study on Influence Parameters of Rail Corrugation on Tangential Tracks of Metro [J]. China Mechanical Engineering, 2021, 32(04): 420-430.
[7]	LI Congbo;ZHANG Chi;QU Shiyang;HU Zengming. Comprehensive Gear Shift Schedule of PELV Considering Road Gradients and Vehicle Loads [J]. China Mechanical Engineering, 2021, 32(03): 275-283,289.
[8]	FANG Dehao1;XU Wan1;CHEN Youping2;YU Leitao1;ZHU Li1. Fitting Method of Reflector Positions Based on Lidar Echo Intensity [J]. China Mechanical Engineering, 2021, 32(02): 204-211.
[9]	LI Maoyue;LYU Hongyu;WANG Fei;JIA Dongkai. An Intelligent Vehicle Robust Lane Line Identification Method Based on Machine Vision [J]. China Mechanical Engineering, 2021, 32(02): 242-251.
[10]	LIU Yanyu;YU Fan;SONG Juanjuan;PANG Jisu;KAKU Chuyo. Detection of Brake Requests Using Neural Network and Fuzzy Control [J]. China Mechanical Engineering, 2020, 31(23): 2847-2855.
[11]	ZHENG Xin;ZHAO Youqun;WANG Qiuwei;ZHANG Chenxi. Parameter Analysis of Electronic Stability Controller Matching Mechanical Elastic Wheels [J]. China Mechanical Engineering, 2020, 31(23): 2883-2890.
[12]	TIAN Wenpeng1;DOU Jianming2,3;XU Xinxin3. Effects of Seven-axle HPS Coupling Scheme on Vehicle Body Attitude [J]. China Mechanical Engineering, 2020, 31(19): 2371-2378，2387.
[13]	ZHANG Kaicheng；LI Shunming；SUN Mingjie. Lightweight Optimization Design of Commercial Vehicle Frames Combined by Steel and Aluminum Materials under Multiple Working Conditions [J]. China Mechanical Engineering, 2020, 31(18): 2206-2211，2219.
[14]	ZHANG Hongchang, GUO Jun, ZHAO Wei, MI Xinglin, ZENG Juan. Assisted Driving Method of Network-connected Vehicle in Out-of-sight Roads [J]. China Mechanical Engineering, 2020, 31(14): 1666-1671.
[15]	GU Yong, YUAN Yuanyi, ZHANG Lie, DUAN Jingjing. Multi-depot Half Open Vehicle Routing Problem with Time Windows [J]. China Mechanical Engineering, 2020, 31(14): 1733-1740.