Adaptive digital demodulation of sinusoidal encoder signal for positioning control of spiral servo track writing

Kang, Hyun Jae; Kim, Sang Hyun; Lee, Seung-Hi; Chung, Chung Choo

doi:10.1007/s00542-012-1488-y

Cited by 6 publications

(5 citation statements)

References 4 publications

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“…Various calibration methods for non-ideal signal components have been studied for the estimation of the measured current-signal offsets [23], [24]. In this step, the desired frequency is set by a rational number to obtain uniformly distributed measured signals.…”

Section: • Step 2: Offset Estimation (B)mentioning

confidence: 99%

Velocity Control for Ripple Reduction in Permanent Magnet Synchronous Motors With Low Performance Current Sensing

2020

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In this study, a velocity control method is proposed for minimizing velocity ripples in permanent-magnet synchronous motors with low-performance current sensing. The proposed method involves the use of desired currents, peak estimation, and a proposed tracking controller. The desired currents are used to achieve velocity control with only the current sensing. Peak estimation is performed to estimate the peak of the measured distorted current that occurs due to low-performance sensing. The proposed tracking controller is developed based on a proportional-integral controller using the estimated peak obtained from the measured currents. The proposed method aids in reducing velocity ripples and improving velocity tracking performance of permanent-magnet synchronous motors. The primary contribution of this method is the improvement of velocity-control performance with low-performance current sensing. The stability of the closed loop is proven by employing the input-to-state stable property. To verify the effectiveness of the proposed method, we performed simulations and experiments with different three cases. INDEX TERMS Velocity control, ripple reduction, peak estimation, low-performance current sensing, permanent-magnet synchronous motor.

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Section: • Step 2: Offset Estimation (B)mentioning

confidence: 99%

Velocity Control for Ripple Reduction in Permanent Magnet Synchronous Motors With Low Performance Current Sensing

2020

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“…These methods were more concerned with suppressing error sources. For the processing of error signals, Hyun et al [15] proposed an adaptive digital demodulation method for a sinusoidal encoder signal, and Xiujun et al [16] developed a piecewise calibration technique that provided a good trade-off between microcontroller memory size and algorithm complexity. The scheme in [11] was also a self-calibration method implemented in hardware.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of a System-on-Chip for Self-Calibration of an Angular Position Sensor

Gao

Zhou

et al. 2019

Applied Sciences

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In this study, a novel signal processing algorithm and hardware processing circuit for the self-calibration of angular position sensors is proposed. To calibrate error components commonly found in angular position sensors, a parameter identification algorithm based on the least mean square error demodulation is developed. A processor to run programs and a coprocessor based on the above algorithm are used and designed to form a System-on-Chip, which can calibrate signals as well as implement parameter configuration and control algorithm applications. In order to verify the theoretical validity of the design, analysis and simulation verification of the scheme are carried out, and the maximum absolute error value in the algorithm simulation is reduced to 0.003 %. The circuit’s Register-Transfer Level simulation shows that the maximum absolute value of the angular error is reduced to 0.03%. Simulation results verify the calibration performance with and without quantization and rounding error, respectively. The entire system is prototyped on a Field Programmable Gate Array and tested on a Capacitive Angular Position Sensor. The proposed scheme can reduce the absolute value of angular error to 4.36%, compared to 7.68% from the experimental results of a different calibration scheme.

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“…This article focuses on another approach that constructs a sinusoidal signal pair in quadrature by calibration algorithm. A series of these techniques, based on the optimization theory, are shown elsewhere [13][14][15][16]. In other studies [13,14], a quadratic equation with five variables has been constructed by virtue that the sum of the squares of a sine signal and a cosine signal is 1; therefore, the least-square fitting method can gain the roots of the equation.…”

Section: Introductionmentioning

confidence: 99%

“…In other studies [13,14], a quadratic equation with five variables has been constructed by virtue that the sum of the squares of a sine signal and a cosine signal is 1; therefore, the least-square fitting method can gain the roots of the equation. In yet other studies [15,16], the goal equation was solved by using residual gradient search [16] and applying it in spiral servo track writing (SSTW). Other equations [13][14][15][16] were replaced by a new quadratic equation with seven variables [17].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Automatic calibration of resolver signals via state observers

Zhang

2014

Meas. Sci. Technol.

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Resolver sensors are utilized as absolute position transducers in many industrial applications. To get position information from resolvers, envelope detection and angle demodulation are required. Ideally, the signals after envelope detection are two sinusoidal orthogonal envelope signals. However, these sinusoidal envelope signals are often disturbed by unexpected actions such as DC offsets, amplitude deviation, and non-orthogonal phase shift. To overcome the influences of these factors and improve demodulation accuracy, an offline automatic calibration method for the two sinusoidal envelope signals is proposed. A state observer is introduced to estimate the amplitude and DC offsets of the envelope signals. To estimate the phase shift, a sinusoidal signal whose DC offset is a function of the phase shift of the envelope signals is constructed based on properties of triangle functions. Its offset could also be estimated by an observer. The simulation results revealed that the proposed method can converge to a single root accurately without complicated parameter selection. The validity and performance of the calibration method are verified in an experimental prototype.

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Adaptive digital demodulation of sinusoidal encoder signal for positioning control of spiral servo track writing

Cited by 6 publications

References 4 publications

Velocity Control for Ripple Reduction in Permanent Magnet Synchronous Motors With Low Performance Current Sensing

Velocity Control for Ripple Reduction in Permanent Magnet Synchronous Motors With Low Performance Current Sensing

Design and Implementation of a System-on-Chip for Self-Calibration of an Angular Position Sensor

Automatic calibration of resolver signals via state observers

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