Implementation Method and Bench Testing of Fractional-Order Biquadratic Transfer Function-Based Mechatronic ISD Suspension

To address the challenge of physically realizing fractional-order electrical networks, this study proposes an implementation method for a mechatronic inerter–spring–damper (ISD) suspension based on a fractional-order biquadratic transfer function. Building upon a previously established model of a me...

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Main Authors: Yujie Shen, Dongdong Qiu, Haolun Xu, Yanling Liu, Kecheng Sun, Xiaofeng Yang, Yan Guo
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Sensors
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Online Access:https://www.mdpi.com/1424-8220/25/14/4255
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author Yujie Shen
Dongdong Qiu
Haolun Xu
Yanling Liu
Kecheng Sun
Xiaofeng Yang
Yan Guo
author_facet Yujie Shen
Dongdong Qiu
Haolun Xu
Yanling Liu
Kecheng Sun
Xiaofeng Yang
Yan Guo
author_sort Yujie Shen
collection DOAJ
description To address the challenge of physically realizing fractional-order electrical networks, this study proposes an implementation method for a mechatronic inerter–spring–damper (ISD) suspension based on a fractional-order biquadratic transfer function. Building upon a previously established model of a mechatronic ISD suspension, the influence of parameter perturbations on the suspension’s dynamic performance characteristics was systematically investigated. Positive real synthesis was employed to determine the optimal five-element passive network structure for the fractional-order biquadratic electrical network. Subsequently, the Oustaloup filter approximation algorithm was utilized to realize the integer-order equivalents of the fractional-order electrical components, and the approximation effectiveness was analyzed through frequency-domain and time-domain simulations. Bench testing validated the effectiveness of the proposed method: under random road excitation at 20 m/s, the root mean square (RMS) values of the vehicle body acceleration, suspension working space, and dynamic tire load were reduced by 7.86%, 17.45%, and 2.26%, respectively, in comparison with those of the traditional passive suspension. This research provides both theoretical foundations and practical engineering solutions for implementing fractional-order transfer functions in vehicle suspensions, establishing a novel technical pathway for comprehensively enhancing suspension performance.
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spelling doaj-art-2ec29a557f8d4782899e36218c3a6fc82025-08-20T03:32:27ZengMDPI AGSensors1424-82202025-07-012514425510.3390/s25144255Implementation Method and Bench Testing of Fractional-Order Biquadratic Transfer Function-Based Mechatronic ISD SuspensionYujie Shen0Dongdong Qiu1Haolun Xu2Yanling Liu3Kecheng Sun4Xiaofeng Yang5Yan Guo6Automotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, ChinaAutomotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, ChinaBYD Auto Industry Co., Ltd., Shenzhen 518118, ChinaSchool of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, ChinaAutomotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, ChinaSchool of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, ChinaSchool of Automotive Engineering, Changzhou Institute of Technology, Changzhou 213032, ChinaTo address the challenge of physically realizing fractional-order electrical networks, this study proposes an implementation method for a mechatronic inerter–spring–damper (ISD) suspension based on a fractional-order biquadratic transfer function. Building upon a previously established model of a mechatronic ISD suspension, the influence of parameter perturbations on the suspension’s dynamic performance characteristics was systematically investigated. Positive real synthesis was employed to determine the optimal five-element passive network structure for the fractional-order biquadratic electrical network. Subsequently, the Oustaloup filter approximation algorithm was utilized to realize the integer-order equivalents of the fractional-order electrical components, and the approximation effectiveness was analyzed through frequency-domain and time-domain simulations. Bench testing validated the effectiveness of the proposed method: under random road excitation at 20 m/s, the root mean square (RMS) values of the vehicle body acceleration, suspension working space, and dynamic tire load were reduced by 7.86%, 17.45%, and 2.26%, respectively, in comparison with those of the traditional passive suspension. This research provides both theoretical foundations and practical engineering solutions for implementing fractional-order transfer functions in vehicle suspensions, establishing a novel technical pathway for comprehensively enhancing suspension performance.https://www.mdpi.com/1424-8220/25/14/4255vehicle suspensionmechatronic inerterfractional-order biquadratic transfer functionimplementation method
spellingShingle Yujie Shen
Dongdong Qiu
Haolun Xu
Yanling Liu
Kecheng Sun
Xiaofeng Yang
Yan Guo
Implementation Method and Bench Testing of Fractional-Order Biquadratic Transfer Function-Based Mechatronic ISD Suspension
Sensors
vehicle suspension
mechatronic inerter
fractional-order biquadratic transfer function
implementation method
title Implementation Method and Bench Testing of Fractional-Order Biquadratic Transfer Function-Based Mechatronic ISD Suspension
title_full Implementation Method and Bench Testing of Fractional-Order Biquadratic Transfer Function-Based Mechatronic ISD Suspension
title_fullStr Implementation Method and Bench Testing of Fractional-Order Biquadratic Transfer Function-Based Mechatronic ISD Suspension
title_full_unstemmed Implementation Method and Bench Testing of Fractional-Order Biquadratic Transfer Function-Based Mechatronic ISD Suspension
title_short Implementation Method and Bench Testing of Fractional-Order Biquadratic Transfer Function-Based Mechatronic ISD Suspension
title_sort implementation method and bench testing of fractional order biquadratic transfer function based mechatronic isd suspension
topic vehicle suspension
mechatronic inerter
fractional-order biquadratic transfer function
implementation method
url https://www.mdpi.com/1424-8220/25/14/4255
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