Deployable space structure control using adaptive predictive controller with notch filter

Oh, Chang Woo; Bang, Hyochoong

doi:10.1016/j.ast.2009.07.001

Cited by 10 publications

(3 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The positioning error in Figure 6(b) with the first tuning of notch filter is much smaller than the one in Figure 6(a), which shows the positive effect The notch filter after the first tuning used in control system is similar to the traditional adaptive notch filter based on FFT of feedback signals or the modal analysis of the mechanical structure in previous studies. 8,9 However, at this moment, the control performance is not optimal. The objective of minimizing the cost function of positioning error leads to the notch filter updating, and the positioning error decreasing sequentially until a threshold is satisfied.…”

Section: Application To An Ultra-precision Stagementioning

confidence: 99%

“…For ultra-precision motion control system, there are no constraints presenting on the optimization problem in equation (8). To guarantee the convergence, the quasiNewton method 23 is adopted.…”

Section: Solutionmentioning

confidence: 99%

“…And they adopted an adaptive notch filter whose parameters can be adjusted based on fast Fourier transform (FFT) of speed feedback signals to reduce the mechanical resonance. Oh and Bang 8 presented an adaptive notch filter to estimate multiple bending mode frequencies of the deployable manipulator and to minimize the effect of bending vibration. Considering the effect of manufacturing tolerance and variation with temperature on resonance frequency, Kang and Kim 9 presented an adaptive digital notch filter that can identify the resonance frequency of the actuator in hard disk quickly and adjust its center frequency automatically.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Iterative tuning notch filter for suppressing resonance in ultra-precision motion control

Teng

Zhang

et al. 2016

Advances in Mechanical Engineering

View full text Add to dashboard Cite

In this article, a practical iterative algorithm for tuning the parameters of notch filter is presented to suppress highfrequency resonance in ultra-precision motion control. Notch filter is a useful tool to suppress middle-and highfrequency resonance to improve control precision. The traditional tuning method for it depends on the Fourier transform of the positioning error or the modal analysis of the motion stage, which cannot get the optimal control performance. The proposed algorithm can be used to tune the parameters of notch filter iteratively through minimizing a cost function of the positioning error, and it needs only measurement signals in actual motion system rather than detailed model of the motion stage. The proposed algorithm can suppress mechanical resonance and meanwhile minimize positioning error, which are demonstrated by experimental results in wafer stage of photolithography.

show abstract

Section: Application To An Ultra-precision Stagementioning

confidence: 99%

Section: Solutionmentioning

confidence: 99%