A simple and accurate algorithm for speed measurement in electric drives using incremental encoder

Brugnano, Francesco; Concari, Carlo; Imamovic, Emir; Savi, Filippo; Toscani, Andrea; Zanichelli, Roberto

doi:10.1109/iecon.2017.8217502

Cited by 11 publications

(7 citation statements)

References 8 publications

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“…Alecksey Anuchin, Senior Member, IEEE, Anton Dianov Senior Member, IEEE, and Fernando Briz, Senior Member, IEEE H is suggested to implement the CET method by means of FPGA. Later in [7], the FPGA method was improved by implementing a new time measurement system with 400 ps resolution, and in [8], the CET method was implemented using modern microcontroller.…”

Section: Synchronous Constant Elapsed Time Speed Estimation Using Incmentioning

confidence: 99%

Synchronous Constant Elapsed Time Speed Estimation Using Incremental Encoders

Anuchin

Dianov

Briz

2019

IEEE/ASME Trans. Mechatron.

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This paper proposes a high-performance speed measurement method for variable speed electric drives using incremental encoders. It is based on the well-known constant elapse time (CET) method. However, the principle of speed estimation is changed from event driven to ready on demand. This helps to remove the jitter effect, caused by the asynchronous nature of the CET method, and make the speed estimation time constant regardless of the current speed. The proposed method can be implemented on modern motion control microcontrollers. Experimental results using a vector controlled Permanent Magnet Synchronous Motor (PMSM) are provided to confirm the performance of the proposed algorithm and the improvements with respect to conventional methods. Synchronous CET method of speed estimation allows to double the accuracy compared to the original CET method for the same behavior of the speed loop, or to increase the speed response time twice for the same accuracy.

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Section: Synchronous Constant Elapsed Time Speed Estimation Using Incmentioning

confidence: 99%

Synchronous Constant Elapsed Time Speed Estimation Using Incremental Encoders

Anuchin

Dianov

Briz

2019

IEEE/ASME Trans. Mechatron.

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“…Obtaining speed is a task with many independent variable factors affecting the range of states and can result in significant errors if not appropriately executed [13]. In low price encoder mostly have low pulse per revolution (PPR), such as magnetic encoder, which has five to 7 PPR.…”

Section: Introductionmentioning

confidence: 99%

“…In low price encoder mostly have low pulse per revolution (PPR), such as magnetic encoder, which has five to 7 PPR. According to [13], for an encoder with low PPR, the period measurement method speed error will be increased during the increase of motor speed. In contrast, for the frequencybased measurement, the most significant error will occur at the lowest motor speed.…”

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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“…However, a number of drives are still equipped with a speed sensor, which can be used to help with parameter identification. Such examples can be found in the manufacturing industry [42][43][44] or railway traction vehicles (locomotives, EMUs) [45], where induction machines are still the dominant type of electromechanical converter. Other sensors used in industrial or traction electric drives are current sensors on machine terminals and voltage sensors in the DC-links of power converters [44,46].…”

Section: Introductionmentioning

confidence: 99%

Induction Machine On-Line Parameter Identification for Resource-Constrained Microcontrollers Based on Steady-State Voltage Model

Košťál

Kobrle

2021

Electronics

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This paper presents a new, computationally modest on-line identification method for the simultaneous estimation of the rotor resistance and magnetizing inductance of an induction machine suitable for electric drives that use an indirect field-oriented control strategy (IFOC), and their control hardware is equipped with a resource-constrained microcontroller. Such drives can be found both in the manufacturing industry and railway traction vehicles in the thousands, having either older control hardware that cannot cope with computationally excessive identification methods or being in cost-sensitive applications, thus being equipped with a low-cost microcontroller. IFOC is a very common control strategy for such drives due to its good dynamic properties and comparatively simple implementation. However, it is sensitive to inaccuracies of rotor resistance and magnetizing inductance. These two parameters change during the operation of the drive, being influenced by the temperature, frequency, and saturation of the magnetic circuit. Improper values of parameters in the controller can degrade the performance of IFOC, resulting in slower acceleration or unnecessary oversaturation of the machine. Respecting these changes can therefore bring significant benefits such as the good dynamic properties of the drive, which can shorten operations in the manufacturing industry or travel times of vehicles. A number of on-line identification methods for monitoring the parameter changes have been published so far, but the majority of them are demanding on microcontroller time or its memory. The proposed method, on the contrary, is comparatively simple and thus easy for implementation with low requirements to the microcontroller. Therefore, it is suitable for both upgrades of existing drives or new low-cost applications. Derivation of the method from the mathematical model and the final algorithm for the microcontroller are presented. The performance of the proposed method is validated with experimental results obtained with a 3.5 kW induction machine drive with an industrial microcontroller during a warming test and under various loads and frequencies.

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A simple and accurate algorithm for speed measurement in electric drives using incremental encoder

Cited by 11 publications

References 8 publications

Synchronous Constant Elapsed Time Speed Estimation Using Incremental Encoders

Synchronous Constant Elapsed Time Speed Estimation Using Incremental Encoders

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

Induction Machine On-Line Parameter Identification for Resource-Constrained Microcontrollers Based on Steady-State Voltage Model

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