Abstract
Road unevenness provides essential evidence for semi-active suspension control while it is difficult to estimate accurately in real time. This paper proposes a real-time method of identifying road unevenness with serial acceleration signals and unevenness-correlated adaptive suspension damping control. This new method uses Long Short-Term Memory (LSTM) network to identify the characteristics of the time domain signal and classify it into different unevenness classes. A proving ground experiment is designed and conducted to construct and validate the algorithm. The good estimation accuracy and robustness is realized at different vehicle velocities and suspension damping levels. Based on this real-time estimated road unevenness, the developed suspension controller can be enhanced by adaptive correlation of the comfort weight and adaptive damping coefficient with corresponding road unevenness. A calibration experiment is conducted to provide evidence for comfort weight selection. The validation experiment result proves that the adaptive damping control could substantially reduce RMS of body acceleration on different kinds of roads, demonstrating the effectiveness of the proposed new method.
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