Inferential control of DC motor using Kalman Filter

Deshpande, P.B.; Deshpande, Anjali

doi:10.1109/icpces.2012.6508056

Cited by 6 publications

(5 citation statements)

References 7 publications

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“…Other ways with the state estimation are proposed by using Kalman Filter to estimate the angular speed [15]- [22]. The estimation is used with another state in the PMDCM model, such as the current and the input voltage.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Frequency and Period Based for Angular Speed Measurement of DC Motor Using Kalman Filter

Setyawan¹,

Cahyadi

Hakim³

et al. 2022

KINETIK

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The Incremental Rotary Encoder have been widely used to measure the angular speed of electrical drive such as Permanent Magnet Direct Current Motor (PMDCM). Nevertheless, speed measurement of PMDCM from the encoder signals can be subject to errors in some special condition such as in low resolution encoder. There are two main methods to measure the angular speed of PMDCM through encoder signal such as frequency-based and period-based wich has its own properties. Hence in this reseach aimed to improve the angular speed measurement with hybridization of frequency and period-based measurement. The Hybrid method is defined as paralleling the period and frequency then estimated the angular speed using sensor fusion with Kalman Filter. The experiment is doing by comparing of all method to get the best way in measuring. From the experimental showed that the Kalman filter parameter was fine tuned that resulting the sensor fusion or the mixed measurement between the frequency-based and the period based measure the angular speed accurately.

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Section: Introductionmentioning

confidence: 99%

Hybrid Frequency and Period Based for Angular Speed Measurement of DC Motor Using Kalman Filter

Setyawan¹,

Cahyadi

Hakim³

et al. 2022

KINETIK

View full text Add to dashboard Cite

show abstract

“…These characteristics some of which are, linear speed control properties and high starting torque. There are more than one types DC motors and all these types have numerous benefits over AC motors which include: less heat production, simpler controllers used, have higher efficiency, can offer precise position control, can produce very close to constant torque and they are easily controllable [2][3][4][5][6][7][8][9][10][11]. For that reason, the adoption of DC motors will reduce the amount of energy consumed and improve the efficiency of the machines they are installed.…”

Section: Introductionmentioning

confidence: 99%

“…Microcontrollers was used to implement both FLCs and both made use physical sensors ,that is, no estimators were introduced in these studies. In [9], the researchers made use of a Kalman filter, torque sensor and current sensor to measure the ASTESJ ISSN: 2415-6698 speed of a DC motor and thereafter fed it back to a PI controller to enhance the motor's speed estimation. In [11], the DC motor speed was estimated using Kalman filter and was controlled using both Linear-Quadratic Regulator (LQR) and PID controllers.…”

Section: Introductionmentioning

confidence: 99%

PID-Type FLC Controller Design and Tuning for Sensorless Speed Control of DC Motor

Al-Maliki¹,

Iqbal²

2018

Adv. sci. technol. eng. syst. j.

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This article examines the use of non-ideal current and voltage sensors for sensorless speed control for a fixed field DC motor. A PID type speed controller with KF estimator was applied to control the DC motor and IAE, settling time, and peak overshoot were taken as performance indices. However, KF facilitated the noise reduction. After tuning controller gains through MATLAB yielded high peak overshoot as well as IAE with an extended settling time. When we applied, a PID-Type FLC tuned by means of GA (genetic algorithms) caused a 75.98%, 97.89% and 56.2% cut in settling time, maximum overshoot and IAE correspondingly. The FLC-PID fundamentally enhanced sudden load changes disturbance rejection and the reference command speed tracking for the dc motor design in comparison to the conventional PID with no KF. This study was also able to replace the designed FLC-PID with linear lookup-table while achieving the same performance improvements.

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“…This state space model may vary depending on the work. In [9] is presented a model with a few differences. The work developed in [10] shows the mathematical model of a DC motor with the angular position as a state.…”

Section: IImentioning

confidence: 99%

“…11. For the tracking system design, a controllable open-loop system is represented by the n th-order state and the p thorder output presented, respectively, in (9) and (10) where y is a × 1 vector and = is a × 1 vector that represents the outputs required to follow a × 1 input vector r. As presented in [11] the design method consists of adding a vector comparator and an integrator, satisfying (11). …”

Section: Vmentioning

confidence: 99%

Construction of an Instrumentation Kit for Identification and Control of DC Motors

Niro¹,

Chaves²,

Kaneko³

et al. 2017

IJAERS

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Inferential control of DC motor using Kalman Filter

Cited by 6 publications

References 7 publications

Hybrid Frequency and Period Based for Angular Speed Measurement of DC Motor Using Kalman Filter

Hybrid Frequency and Period Based for Angular Speed Measurement of DC Motor Using Kalman Filter

PID-Type FLC Controller Design and Tuning for Sensorless Speed Control of DC Motor

Construction of an Instrumentation Kit for Identification and Control of DC Motors

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