Implementation Method and Bench Testing of Fractional-Order Biquadratic Transfer Function-Based Mechatronic ISD
Yujie Shen1, Dongdong Qiu1, Haolun Xu2
1Automotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, China.
This study presents a novel mechatronic inerter-spring-damper suspension using fractional-order networks. The method effectively reduces vehicle body acceleration and suspension space, enhancing overall suspension performance.
Area of Science:
- Mechatronics
- Control Systems Engineering
- Electrical Network Synthesis
Background:
- Implementing fractional-order electrical networks presents significant physical realization challenges.
- Existing mechatronic inerter-spring-damper (ISD) suspension models require further investigation into parameter perturbation effects.
Purpose of the Study:
- To propose a practical implementation method for a mechatronic ISD suspension utilizing a fractional-order biquadratic transfer function.
- To systematically analyze the impact of parameter perturbations on the dynamic performance of mechatronic ISD suspensions.
Main Methods:
- Positive real synthesis was used to design an optimal five-element passive network for the fractional-order biquadratic electrical network.
- The Oustaloup filter approximation algorithm was employed to derive integer-order equivalents for fractional-order electrical components.
- Frequency-domain and time-domain simulations were conducted to evaluate the approximation effectiveness.
Main Results:
- Bench testing demonstrated significant performance improvements compared to traditional passive suspensions.
- Root mean square (RMS) reductions were observed in vehicle body acceleration (7.86%), suspension working space (17.45%), and dynamic tire load (2.26%) at 20 m/s under random road excitation.
- The proposed method effectively realized fractional-order transfer functions in a physical suspension system.
Conclusions:
- The research provides a viable engineering solution for implementing fractional-order transfer functions in vehicle suspensions.
- This work establishes a novel technical pathway for substantially enhancing suspension performance through fractional-order network implementation.
- The findings offer both theoretical insights and practical applications for advanced suspension design.
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