论文信息 - Adaptive derivative estimation for DSP-based acceleration measurement

Adaptive derivative estimation for DSP-based acceleration measurement

Differentiation by means of digital signal processing is needed for estimating the rate of change or slope of digitized signals in many motion control and automation applications, including acceleration measurement. Since the ideal differentiator is unrealizable, several kinds of approximations have been proposed in the literature. In this work, we propose a digital differentiation scheme which is flexible and in many cases avoids the unfavourable noise properties of wideband approximation approaches. This is achieved by cascading an integrator and a FIR filter in an adaptive loop such that the filter adapts as an application-specific differentiator. Examples of operation with different signal classes are given, including piecewise polynomials, frequently encountered in motion control applications.

Olli Vainio

[1] Seppo J. Ovaska,et al. Predictive synchronization and restoration of corrupted velocity samples , 1994 .

[2] Markku Renfors,et al. Recursive implementation of FIR differentiators with optimum noise attenuation , 1996 .

[3] R. G. Jacquot,et al. Modern Digital Control Systems , 2019 .

[4] V. Ramachandran,et al. Design of equiripple nonrecursive digital differentiators and Hilbert transformers using a weighted least-squares technique , 1994, IEEE Trans. Signal Process..

[5] Wolfgang Fuerst,et al. Introductory digital signal processing with computer applications , 1989 .

[6] R.D. Lorenz,et al. Design principles and implementation of acceleration feedback to improve performance of DC drives , 1990, Conference Record of the 1990 IEEE Industry Applications Society Annual Meeting.

[7] Kouhei Ohnishi,et al. A novel rotary acceleration sensor , 1995 .

[8] Bengt Carlsson,et al. Optimal differentiation based on stochastic signal models , 1991, IEEE Trans. Signal Process..

[9] S. C. Dutta Roy,et al. Design of digital differentiators for low frequencies , 1988 .

[10] J. W. Adams,et al. A new design technique for maximally linear differentiators , 1989, International Conference on Acoustics, Speech, and Signal Processing,.

[11] J. Schoukens,et al. Real-time integration and differentiation of analog signals by means of digital filtering , 1990, 7th IEEE Conference on Instrumentation and Measurement Technology.