Incremental Encoder

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Csaba Szabo - One of the best experts on this subject based on the ideXlab platform.

  • error compensation methods in speed identification using Incremental Encoder
    International Conference and Exposition on Electrical and Power Engineering, 2012
    Co-Authors: Ali Negrea, Maria Imecs, Ioan Lov Incze, Andrei Victo Pop, Csaba Szabo
    Abstract:

    This paper presents a comparative analyze between several methods that compensate or reduce the errors that occurs in speed identification using Incremental Encoder. The errors are caused by the lack of synchronization between Encoder pulses and sampling time in fixed-time measurement and fixed-position measurement, and also due to the delay between the reference speed and the calculated speed from the Incremental Encoder pulses. Simulation results, using Matlab/Simulink® structures are presented and discussed.

  • an improved speed identification method using Incremental Encoder in electric drives
    IEEE International Conference on Automation Quality and Testing Robotics, 2012
    Co-Authors: Cornel Ali Negrea, Maria Imecs, Andrei Victo Pop, Ioan Iov Incze, Csaba Szabo
    Abstract:

    The paper presents a variable sampling time method for speed identification using generated pulses from an Incremental Encoder. The most common procedures for speed identification are: in low speed range the period-measurement-and in high speed range the frequency-measurement-based method. Considering the error that occurs in the classical frequency method for speed calculation, the proposed procedure eliminates that error by increasing the sampling period with the necessarily amount of time in order to synchronize the sampling period with the generated Encoder pulses. There are presented simulation results obtained with Matlab/Simulink® structures.

  • Incremental Encoder in electrical drives modeling and simulation
    2010
    Co-Authors: Ioan Iov Incze, Csaba Szabo, Maria Imecs
    Abstract:

    Incremental Encoders are electro-mechanical devices used as position sensors in electrical drives. They provide electrical pulses when their shaft is rotating. The number of pulses is proportional to the angular position of the shaft. The paper focuses on the modeling and simulation of an Incremental Encoder, and associated units serving for direction identification and position computing. Matlab-Simulink® structure was realized and tested. The proposed structure identifies the direction of the rotation in an angular interval equal to a quarter of the angular step of Encoder graduation. The Incremental Encoder was integrated into the simulation structure of an induction motor based drive control system in order to provide the position of the motor shaft. Experimental results are also presented.

  • Incremental Encoder based position and speed identification modeling and simulation
    2010
    Co-Authors: Ioan Iov Incze, Ali Negrea, Maria Imecs, Csaba Szabo
    Abstract:

    Electrical drives frequently use Incremental Encoders as position sensor. The paper deals with the modeling and simulation of an Incremental Encoder and associated units for processing the information provided by the Encoder. A mathematical model of the Incremental Encoder is presented. Based on Encoder signals the direction of the rotation, the position and the speed are identified. The described procedure for determination of the direction of the rotation is able to identify the direction changing in all cases during a rotation equal to the minimal detectable rotation-angle-increment. The computing of the position is based on the algebraic summing of the number of the generated Encoder signals. For the speed determination different methods are modeled and simulated: for high speed region the frequency measurement is used and for low speed domain the period measurement is appropriate. In case of a large speed variation the minimal-error-based switching between the two methods is suitable. Matlab-Simulink ® simulation structures were realized for the Encoder signals based on the identification of the direction of the rotation, for the position and speed computation. Experimental results performed on a DSP-based set-up (under development) are given. The presented simulation subsystems of the Encoder, position and speed computation may be integrated in any Matlab-Simulink ® structure.

E Chunliang - One of the best experts on this subject based on the ideXlab platform.

Mila Curkovic - One of the best experts on this subject based on the ideXlab platform.

  • accurate fpga based velocity measurement with an Incremental Encoder by a fast generalized divisionless mt type algorithm
    Sensors, 2018
    Co-Authors: Ales Hace, Mila Curkovic
    Abstract:

    Velocity measurement by an Incremental Encoder is an important issue for advanced motion control applications such as robotics. In this paper, we deal with a kind of MT-type velocity estimation method. Though the conventional MT method is well known and has been well proven in practice, it requires execution of an arithmetic division operation that prevents an efficient implementation on low-cost FPGA-based control platforms. Thus, we propose a divisionless MT-type algorithm, which can provide a similar performance in velocity estimation accuracy as the conventional method, but requiring significantly less FPGA resources, since it implements only simple arithmetic operations such as addition, subtraction, and multiplication, that can be implemented more easily on the processing hardware. Furthermore, the algorithm is fast in execution, thus, it provides the output in only a few clock cycles. Though the proposed algorithm can be described in a recursive form, the stability of the estimation process is not jeopardized, although it is an important issue in this case. Hence, the algorithm is introduced in a form which assures stability in a wide speed range. We show the implementation of the algorithm on the experimental FPGA platform. The experimental results validated the proposed divisionless MT-type algorithm fully for accurate velocity estimation.

Ales Hace - One of the best experts on this subject based on the ideXlab platform.

  • The Improved Division-Less MT-Type Velocity Estimation Algorithm for Low-Cost FPGAs
    MDPI AG, 2019
    Co-Authors: Ales Hace
    Abstract:

    Advanced motion control applications require smooth and highly accurate high-bandwidth velocity feedback, which is usually provided by an Incremental Encoder. Furthermore, high sampling rates are also demanded in order to achieve cutting-edge system performance. Such control system performance with high accuracy can be achieved easily by FPGA-based controllers. On the other hand, the well-known MT method for velocity estimation has been well proven in practice. However, its complexity, which is related to the inherent arithmetic division involved in the calculus part of the method, prevents its holistic implementation as a single-chip solution on small-size low-cost FPGAs that are suitable for practical optimized control systems. In order to overcome this obstacle, we proposed a division-less MT-type algorithm that consumes only minimal FPGA resources, which makes it proper for modern cost-optimized FPGAs. In this paper, we present new results. The recursive discrete algorithm has been further optimized, in order to improve the accuracy of the velocity estimation. The novel algorithm has also been implemented on the experimental FPGA board, and validated by practical experiments. The enhanced algorithm design resulted in improved practical performance

  • accurate fpga based velocity measurement with an Incremental Encoder by a fast generalized divisionless mt type algorithm
    Sensors, 2018
    Co-Authors: Ales Hace, Mila Curkovic
    Abstract:

    Velocity measurement by an Incremental Encoder is an important issue for advanced motion control applications such as robotics. In this paper, we deal with a kind of MT-type velocity estimation method. Though the conventional MT method is well known and has been well proven in practice, it requires execution of an arithmetic division operation that prevents an efficient implementation on low-cost FPGA-based control platforms. Thus, we propose a divisionless MT-type algorithm, which can provide a similar performance in velocity estimation accuracy as the conventional method, but requiring significantly less FPGA resources, since it implements only simple arithmetic operations such as addition, subtraction, and multiplication, that can be implemented more easily on the processing hardware. Furthermore, the algorithm is fast in execution, thus, it provides the output in only a few clock cycles. Though the proposed algorithm can be described in a recursive form, the stability of the estimation process is not jeopardized, although it is an important issue in this case. Hence, the algorithm is introduced in a form which assures stability in a wide speed range. We show the implementation of the algorithm on the experimental FPGA platform. The experimental results validated the proposed divisionless MT-type algorithm fully for accurate velocity estimation.

Doohee Jung - One of the best experts on this subject based on the ideXlab platform.