A Wide-Range Velocity Measurement Method for Motion Control

Tsuji, Toshiaki; Hashimoto, Takuya; Kobayashi, Hiroshi; Mizuochi, Mariko; Ohnishi, Kouhei

doi:10.1109/tie.2008.2003208

Cited by 57 publications

(33 citation statements)

References 20 publications

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“…La velocidad lí-mite en términos de los parámetros físicos del encoder es igual a (1/pul)/dt, donde pul indica el número de particiones del encoder, como se explica en [15].…”

Section: Implementación Del Método Nuevo De Estimación De Velocidadunclassified

Implementación en DSPIC de un algoritmo óptimo para la estimación de velocidad de giro<br />Implementation of an optimal algorithm for the estimation of angular speed in DSPICS

Rairán-Antolines¹,

Fonseca-Gómez²

2014

Iteckne

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Resumen-En este artículo se presenta la implementación de un método de medición de velocidad angular nuevo, cuando la información proviene de un encoder incremental. Parte del método es implementado en un dsPIC, mientras que el resto se programa en Simulink. La ventaja fundamental del método de medición es que produce una única aproximación cuando la velocidad es constante, en contraposición con los métodos convencionales, conocidos como a tiempo fijo y a espacio fijo, los cuales oscilan entre dos valores. Se presenta el control de velocidad de un motor, como ejemplo de aplicación, y se concluye que el método nuevo puede aplicarse para la aproximación de la razón de cambio, incluso cuando los datos no provienen de un encoder.Palabras clave-dsPIC, encoder, espacio fijo, medición de velocidad, tiempo fijo.Abstract-In this paper we present the implementation of a new method to measure angular speed when the data come from an incremental encoder. Part of the method is implemented in a dsPIC, whereas the remaining part was programmed in Simulink. The main advantage of the new method consists of having just one approximation at constant speed, whereas traditional methods oscillate between two values. The speed control of a motor serves as an application of the new method, which allows concluding that the proposed method can be used to estimate the rate of change of a variable even when the data do not come from an incremental encoder.

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“…La velocidad lí-mite en términos de los parámetros físicos del encoder es igual a (1/pul)/dt, donde pul indica el número de particiones del encoder, como se explica en [15].…”

Section: Implementación Del Método Nuevo De Estimación De Velocidadunclassified

Implementación en DSPIC de un algoritmo óptimo para la estimación de velocidad de giro<br />Implementation of an optimal algorithm for the estimation of angular speed in DSPICS

Rairán-Antolines¹,

Fonseca-Gómez²

2014

Iteckne

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“…where σ ωr 1 = −ke ωr − cω * r −ω * r and σ ωr2 = h. Then, the speed controller reads i * sq,eq = − l ωr σ ωr + σ ωr 1 + η ωr sgn(σ ωr ) σ ωr2 (22) with the sign function is defined by (6). Then (22) becomeṡ …”

Section: Speed Controller Designmentioning

confidence: 99%

“…Proposition 1: Consider IM model (11) and suppose that Assumption 1 is satisfied. Then under the action of speed controller (22) and flux controller (15), the rotor speed and the flux track their desired trajectories exponentially.…”

Section: Speed Controller Designmentioning

confidence: 99%

“…Vector controlled IM drives are wide spread electromechanical conversion systems with efficient energy [4] for highdynamic performance applications, where motion control or high precision speed control is needed [22]. Since rotational transducers and their associated digital or analogue circuits give extra costs and are often complex and rather fragile, reducing the robustness of the total system, there is an increasing interest in industry in control schemes without rotational sensors-the so-called SIM control.…”

Section: Introductionmentioning

confidence: 99%

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On Sensorless Induction Motor Drives: Sliding-Mode Observer and Output Feedback Controller

Ghanes

Zheng

2009

IEEE Trans. Ind. Electron.

110

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Abstract-In this paper, a sensorless output feedback controller is designed in order to drive the Induction Motor (IM) without the use of flux and speed sensors. Firstly, a new sliding mode observer that uses only the measured stator currents is synthesized to estimate the speed, the flux and the load torque. Secondly, a current-based field oriented sliding mode control is developed so as to steer the estimated speed and flux magnitude to the desired references. Stability analysis based on Lyapunov theory is also presented in order to guarantee the closed loop stability of the proposed observer-control system. Two experimental results for a 1.5-kW IM are presented and analyzed by taking into account the unobservability phenomena of the Sensorless Induction Motor (SIM).

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“…The principle of velocity measurement is depicted in Fig. 3.5 [6]. The angular velocity is calculated by finite-difference method using the constant sampling time and the number of pulses per sampling time.…”

Section: Accelerometer Sensormentioning

confidence: 99%

Development of 3D Accelerometer Testing System

Alsaedi¹

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Accelerometers are used in numerous industries including aircrafts and missile navigations systems, rotary machines, and electronic devices such as tablets, cell phones, and cameras. Accelerometers of different purposes and specifications are being produced in large quantities. The large demand for accelerometers forces the need for accelerometer testing methodology that is more convenient and accurate. Inertial Micro-Electromechanical Systems Accelerometer (MEMS) require a series of tests that include physical stimuli. One of the key challenges is the cost associated with testing. Therefore, the accurate prediction of the sensor functions not only reduces the testing time but also more importantly contributes to reducing testing cost. The accelerometer error model must be constructed, and the coefficients in the error equations must be determined. Therefore, Kalman filter in the analysis of visual iii motion has been documented frequently. The filter is constructed as a mean squared error minimizer. The purpose of filtering is to extract the required information from a signal, ignoring everything else.iv Acknowledgements

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A Wide-Range Velocity Measurement Method for Motion Control

Cited by 57 publications

References 20 publications

Implementación en DSPIC de un algoritmo óptimo para la estimación de velocidad de giro<br />Implementation of an optimal algorithm for the estimation of angular speed in DSPICS

Implementación en DSPIC de un algoritmo óptimo para la estimación de velocidad de giro<br />Implementation of an optimal algorithm for the estimation of angular speed in DSPICS

On Sensorless Induction Motor Drives: Sliding-Mode Observer and Output Feedback Controller

Development of 3D Accelerometer Testing System

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