Improve efficiency multi-turn magnetic encoder that uses gear system

Park, Jae Wan; Nguyen, Hau Van; Tran, Thuong Ngoc-Cong; Jeon, Jae Wook

doi:10.23919/iccas.2017.8204458

Cited by 7 publications

(8 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The proposed method in this paper is to compareφ m andφ to return the current value to zero-points for each cycle at all times. This method has been studied in a multi-turn absolute encoder using gear systems [19] [20].…”

Section: B Index Calculatormentioning

confidence: 99%

A Linear Compensation Method for Improving the Accuracy of an Absolute Multipolar Magnetic Encoder

et al. 2021

Self Cite

View full text Add to dashboard Cite

This paper proposes a linear compensator algorithm to improve the performance of an absolute multipolar magnetic encoder (AMPME). An AMPME is an absolute magnetic rotary encoder that uses a multipolar magnet (MPM) to increase the resolution. The resolution can be dramatically increased in proportion to the number of poles in the MPM. However, various hardware problems that occur during the encoder manufacturing process degrade the AMPME performance. Also, harmonic components occur in the raw data due to various problems, such as the resistance error of the analog circuit, magnetic field overlap between the magnets, position error between the sensor and magnet, and pole-pitch difference. In particular, during the magnetization process of the MPM, the pole-pitch difference becomes a problem when the sizes of each pole are not uniform. This problem causes harmonic components that reduce the absolute position accuracy. To solve these problems, this paper proposes a linear compensation method. The proposed linear compensator consists of two parts. The first part is the enhanced ratiometric linearization for phase calculation and calibration. The second is the phase compensator for removing the phase difference via the pole-pitch difference of the MPM. The linear compensator improves various parameters by precomputing the offset, amplitude, and phase corrections. After compensating for sinusoidal signals, the linear compensator applies appropriate parameters at the appropriate times. This method is faster, easier to set up, and more accurate than the conventional method. Furthermore, this method is experimentally verified against the existing harmonic rejection method. Experimental results are provided to verify the effectiveness of the proposed method.

show abstract

Section: B Index Calculatormentioning

confidence: 99%

A Linear Compensation Method for Improving the Accuracy of an Absolute Multipolar Magnetic Encoder

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…There are two types of encoders, absolute and relative, where the first can determine at each time the absolute angular position of the axis and the second can only determine how much the angle has changed, without any indication of the initial angular position on the shaft (PARK et al, 2017).…”

Section: Encoder Of Revolutionmentioning

confidence: 99%

The Use of a Statistical Filter and Metaheuristics to Model and Control The DC Motor of the Mobile Robot Used on NXP Cup

Moreira¹,

Fernandes

Silva

et al. 2018

jme

View full text Add to dashboard Cite

Over the past decades, Robotics is one of the research fields with more advances. From methodologies of low-level control, used on actuators, to high-level control, used with artificial intelligence approaches. One of the most interesting problem that a mobile robot faces is autonomous navigation. For the robot be able to navigate on the environment autonomously, it have to make use of sensory input from one or more sensors that are used to perceive the robot surroundings as well as sensors that measure internal states of the robot. One of the most used control theory methodology is the proportional-integrative-derivative (PID) controller, where its parameters are estimated through a variety of ways, from raw mathematical modeling to the application of hybrid approaches that uses both a mathematical model and metaheuristics such as genetic algorithms. This paper aims to estimate the parameters of the direct current motor through a Kalman filter and use those to estimate the PID parameters to control the DC motor by the usage of a genetic algorithm. Results shows that the derived PID controller is quite efficient on the control of the DC motor used, thus validating the methodology.

show abstract

“…This method can achieve a large number of turns of detection range, but its encoding mode is discontinuous. Other scholars [14,15] also used multiple gears and magnetic sensors with a prime number of teeth to build a multi-turn magnetic encoder. It was found that a look-up table should be established beforehand according to the gear ratio combination to find the current number of turns.…”

Section: Introductionmentioning

confidence: 99%

“…In summary, although these multi-turn encoders based on the magnetic principle show unique characteristics, there are still many drawbacks and challenges, such as large volume [8,9], discontinuity [13], complex calculation method [14,15], complex structure [16,17], all these would lead to high cost and unsteady, they could still be improved. So, this paper utilizes the advantages of the magnetic Vernier method, which can be derived through analytical formulas while reducing the requirement of the number of teeth of a single gear, and studies the principle, system model and design policy of the novel multi-layer magnetic Vernier group (MVG) method.…”

Section: Introductionmentioning

confidence: 99%

Novel multi-layer magnetic Vernier group method for multi-turn encoding*

Cai,

Jiang,

et al. 2023

Meas. Sci. Technol.

View full text Add to dashboard Cite

Multi-turn encoders receives great attentions recently, especially the gear-type ones with mechanical structure and permanent magnets, which has the function of multi-turn mechanical memory. However, the current gear-type multi-turn encoders still have many challenges, such as complex structure, large volume, complex calculation method, etc. To provide a more flexible multi-turn magnetic encoder that can encode position information in an analytical way, this paper studies the principle, system model, encoding algorithm, and design policy of a novel multi-layer magnetic Vernier group (MVG) method. The weakness of the conventional multi-turn magnetic Vernier encoder is firstly analyzed. Then, the new principle, system model and general encoding algorithm of the investigated multi-layer MVG method are introduced. The design policy of the novel multi-layer MVG method are carefully discussed: (1) from the tooth number of the minimum common period (TNMCP) perspective, all possible combinations of two lower-layer MVGs to upgrade to a higher-layer MVG are analyzed. (2) The gear and tooth number decision policy for lower layers are investigated when the top-layer TNMCP is decided. A gear-saving scheme is established, and the corresponding parameter selections are analyzed. (3) The general process of upgrading the current MVG into a higher-layer alternative is shown out. Finally, a two-layer MVG encoding system with three gears is designed as an example for experimental verification. The results demonstrate that angle information and multi-turn encoding can be realized according to the proposed multi-layer MVG method. The correctness of the gear-saving scheme is also verified. The turn values decoded from the multi-layer MVG are consistent with those from the reference motor encoder.

show abstract

Improve efficiency multi-turn magnetic encoder that uses gear system

Cited by 7 publications

References 7 publications

A Linear Compensation Method for Improving the Accuracy of an Absolute Multipolar Magnetic Encoder

A Linear Compensation Method for Improving the Accuracy of an Absolute Multipolar Magnetic Encoder

The Use of a Statistical Filter and Metaheuristics to Model and Control The DC Motor of the Mobile Robot Used on NXP Cup

Novel multi-layer magnetic Vernier group method for multi-turn encoding*

Contact Info

Product

Resources

About