A novel fuzzy controller to improve desired suspension performance

被引:0
|
作者
Biglarbeglan, Mohammad [1 ]
Melek, William [1 ]
Goinaraghi, Farid [1 ]
机构
[1] Univ Waterloo, Dept Mech Engn, Waterloo, ON N2L 3G1, Canada
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Semi-active suspension systems allow for adjusting the vehicle shock damping and hence improved suspension performance can be achieved over passive methods. This paper presents the design of a novel fuzzy control structure to concurrently improve ride comfort and road handling of vehicles with semi-active suspension system. A full car model with seven degrees of freedom is adopted that includes the vertical, roll, and pitch motions as well as the vertical motions of each wheel. Four decentralized fuzzy controllers are developed and applied to each individual damper in the vehicle suspension system. Mamdani's method is applied to infer the damping coefficient output from the fuzzy controller. To evaluate the performance of the proposed controller, numerical analyses were carried out on a real road bump. Moreover, results were compared with well-known and widely used controllers such as Skyhook. It is shown that the proposed fuzzy controller is capable of achieving enhanced ride comfort and road handling over other widely used control methods.
引用
收藏
页码:2021 / 2026
页数:6
相关论文
共 50 条
  • [41] Simulation of novel hybrid method to improve dynamic responses with PSS and UPFC by fuzzy logic controller
    Mehrdad Khaksar
    Alireza Rezvani
    Mohammad Hassan Moradi
    Neural Computing and Applications, 2018, 29 : 837 - 853
  • [42] Simulation of novel hybrid method to improve dynamic responses with PSS and UPFC by fuzzy logic controller
    Khaksar, Mehrdad
    Rezvani, Alireza
    Moradi, Mohammad Hassan
    NEURAL COMPUTING & APPLICATIONS, 2018, 29 (03): : 837 - 853
  • [43] A novel adaptive fuzzy logic controller (FLC) to improve Internet channel reliability and response timeliness
    Lin, WWK
    Wong, AK
    EIGHTH IEEE INTERNATIONAL SYMPOSIUM ON COMPUTERS AND COMMUNICATION, VOLS I AND II, PROCEEDINGS, 2003, : 1347 - 1352
  • [44] Improve DTC Performance for IPMSM by Fuzzy-Controller and Auto-tuning PI Compensator
    Zhang, Hanxia
    Song, Yongxian
    ICIEA: 2009 4TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOLS 1-6, 2009, : 3110 - 3114
  • [45] PLFC: The packet length fuzzy controller to improve the performance of WLAN under the interference of microwave oven
    Sheu, ST
    Lee, YH
    Chen, MH
    Yu, YC
    Huang, YC
    GLOBECOM '00: IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE, VOLS 1- 3, 2000, : 1427 - 1431
  • [46] A novel fuzzy logic controller for UPFC
    Menniti, D
    Pinnarelli, A
    Sorrentino, N
    2000 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY, VOLS I-III, PROCEEDINGS, 2000, : 691 - 696
  • [47] A Novel Robust Adaptive Fuzzy Controller
    LIU Xiao-hua
    Journal of Systems Science and Systems Engineering, 2002, (02) : 251 - 256
  • [48] Enhancing performance of APF by Fuzzy Controller
    Steela, Khoisnam
    Rajpurohit, Bharat Singh
    2014 IEEE 6TH INDIA INTERNATIONAL CONFERENCE ON POWER ELECTRONICS (IICPE), 2014,
  • [49] Performance of a flotation column fuzzy controller
    Carvalho, M. Teresa
    Durão, Fernando
    Computers and Computational Engineering in Control, 1999, : 220 - 225
  • [50] Development of an Advanced Fuzzy Active Steering Controller and a Novel Method to Tune the Fuzzy Controller
    Jalali, Kiumars
    Uchida, Thomas
    McPhee, John
    Lambert, Steve
    SAE INTERNATIONAL JOURNAL OF PASSENGER CARS-ELECTRONIC AND ELECTRICAL SYSTEMS, 2013, 6 (01): : 241 - 254