Reduction of Idle Shake in a Small Commercial Vehicle

Balla, Chaitanya Krishna; Naidu, Sudhakara; Ambardekar, Milind

doi:10.4271/2015-01-2352

Cited by 2 publications

(6 citation statements)

References 5 publications

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“…Moreover, the two highest peaks in the ranges of 10 to 20 Hz and 20 to 30 Hz show significantly greater amplitude compared to the other frequencies in the forward and up directions. The frequencies of the two peaks correspond to the general vibration frequency range of 10 to 50 Hz for an idling vehicle [24][25][26][27][28]. Although the same apparent peak is observed from 10 to 20 Hz in the right direction, there is no peak within the 20 to 30 Hz range, which is accompanied by more noise than in the other two directions.…”

Section: Fft Features Of Acceleration and Angular Velocity For Statio...mentioning

confidence: 72%

“…The key of the proposed stationary detection approach is generating the features of stopped and idling vehicles. For a usual land vehicle, the vibrational frequency of an idling engine falls in the range of 10 to 50 Hz [24][25][26][27][28]. Thus, with the assistance of IMU measurements at a high sampling rate, the FFT serves as a powerful algorithm for spectral analysis in the frequency range of an idling vehicle.…”

Section: Methodsmentioning

confidence: 99%

“…The vibration of an idling engine was first taken into account for the optimization of engine mounting systems within the frequency range from 6 to 20 Hz [22,23]. The vibrational frequency of an idling engine was found to be mostly determined by the engine's revolutions per minute (RPM) and its number of cylinders [24][25][26]. Generally, the vibrational frequency of a land vehicle caused by an idling engine ranges from 10 to 50 Hz [24][25][26][27][28].…”

Section: Introductionmentioning

confidence: 99%

“…The vibrational frequency of an idling engine was found to be mostly determined by the engine's revolutions per minute (RPM) and its number of cylinders [24][25][26]. Generally, the vibrational frequency of a land vehicle caused by an idling engine ranges from 10 to 50 Hz [24][25][26][27][28]. When the vehicle is in an idling status, the resonant peak at the double dominant frequency is distinct and considerable [24,25].…”

Section: Introductionmentioning

confidence: 99%

“…Generally, the vibrational frequency of a land vehicle caused by an idling engine ranges from 10 to 50 Hz [24][25][26][27][28]. When the vehicle is in an idling status, the resonant peak at the double dominant frequency is distinct and considerable [24,25]. It is worth noting that the IMU data sampling frequency is usually in the range of 100 to 200 Hz; hence, the vibrational frequency caused by an idling engine can be availably reflected with the IMU [2,6,10].…”

Section: Introductionmentioning

confidence: 99%

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Stationary Detection for Zero Velocity Update of IMU Based on the Vibrational FFT Feature of Land Vehicle

Li,

Nie,

Suvorkin

et al. 2024

Remote Sensing

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The inertial navigation system (INS) and global satellite navigation system (GNSS) are two of the most significant systems for land navigation applications. The inertial measurement unit (IMU) is a kind of INS sensor that measures three-dimensional acceleration and angular velocity measurements. IMUs based on micro-electromechanical systems (MEMSs) are widely employed in vehicular navigation thanks to their low cost and small size, but their magnitude and noisy biases make navigation errors diverge very fast without external constraint. The zero-velocity update (ZVU) function is one of the efficient functions that constrain the divergence of IMUs for a stopped vehicle, and the key of the ZVU is the correct stationary detection for the vehicle. When a land vehicle is stopped, the idling engine produces a very stable vibration, which allows us to perform frequency analysis and a comparison based on the fast Fourier transform (FFT) and IMU measurements. Hence, we propose a stationary detection method based on the FFT for a stopped land vehicle with an idling engine in this study. An urban vehicular navigation experiment was carried out with our GNSS/IMU integration platform. Three stops for 10 to 20 min were set to analyze, generate and evaluate the FFT-based stationary detection method. The FFT spectra showed clearly idling vibrational peaks during the three stop periods. Through the comparison of FFT spectral features with decelerating and accelerating periods, the amplitudes of vibrational peaks were put forward as the key factors of stationary detection. For the consecutive stationary detection in the GNSS/IMU integration process, a three-second sliding window with a one-second updating rate of the FFT was applied to check the amplitudes of peaks. For the assessment of the proposed stationary detection method, GNSS observations were removed to simulate outages during the three stop periods, and the proposed detection method was conducted together with the ZVU. The results showed that the proposed method achieved a 99.7% correct detection rate, and the divergence of the positioning error constrained via the ZVU was within 2 cm for the experimental stop periods, which indicates the effectiveness of the proposed method.

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