Fractional-order adaptive fuzzy decentralized tracking control for steer-by-wire system
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View abstract on PubMed
Summary
This summary is machine-generated.A new fractional-order adaptive fuzzy decentralized tracking control (FAFDTC) strategy enhances steer-by-wire (SbW) systems. This advanced control method significantly reduces front wheel angle tracking errors, improving steering accuracy and robustness in vehicles.
Area Of Science
- Automotive Engineering
- Control Systems Theory
- Mechatronics
Background
- Steer-by-wire (SbW) systems are crucial for accurate vehicle steering.
- D-Q axes coupling, time-varying motor parameters, and load disturbances degrade tracking accuracy.
- Existing control strategies struggle with the complex dynamics of SbW systems.
Purpose Of The Study
- To develop a robust control strategy for accurate front wheel angle tracking in SbW systems.
- To address challenges posed by D-Q axes coupling, parameter variations, and external disturbances.
- To enhance the overall performance and reliability of SbW systems.
Main Methods
- A fractional-order SbW interconnected system model was developed to capture nonlinearities and time-varying dynamics.
- Second-order adaptive fuzzy logic systems (FLSs) with auxiliary functions were designed for function estimation and error compensation.
- A fractional-order command-filtered adaptive backstepping controller was integrated with FLSs for precise tracking control.
Main Results
- The proposed fractional-order adaptive fuzzy decentralized tracking control (FAFDTC) strategy demonstrated superior performance.
- FAFDTC reduced front wheel angle tracking error by 48.58% and 59.78% compared to existing controllers.
- The controller ensured high tracking accuracy and robustness against disturbances.
Conclusions
- The FAFDTC strategy effectively mitigates tracking accuracy degradation in SbW systems.
- The proposed method offers significant improvements in steering precision and system robustness.
- This research validates the effectiveness and superiority of the FAFDTC approach for SbW applications.
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