Tracking Control of Motor Drives Using Feedforward Friction Observer

Ruderman, Michael

doi:10.1109/tie.2013.2264786

Cited by 72 publications

(41 citation statements)

References 24 publications

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“…The feedforward control approach is well established and used in [17][18][19][20] with different combinations of feedback methods. Based on [16], the load torque can be added to the motor-generated torque.…”

Section: Feedforward Termmentioning

confidence: 99%

Multi-Mode Electric Actuator Dynamic Modelling for Missile Fin Control

et al. 2017

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Linear first/second order fin direct current (DC) actuator model approximations for missile applications are currently limited to angular position and angular velocity state variables. Furthermore, existing literature with detailed DC motor models is decoupled from the application of interest: tail controller missile lateral acceleration (LATAX) performance. This paper aims to integrate a generic DC fin actuator model with dual-mode feedforward and feedback control for tail-controlled missiles in conjunction with the autopilot system design. Moreover, the characteristics of the actuator torque information in relation to the aerodynamic fin loading for given missile trim velocities are also provided. The novelty of this paper is the integration of the missile LATAX autopilot states and actuator states including the motor torque, position and angular velocity. The advantage of such an approach is the parametric analysis and suitability of the fin actuator in relation to the missile lateral acceleration dynamic behaviour.

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Section: Feedforward Termmentioning

confidence: 99%

Multi-Mode Electric Actuator Dynamic Modelling for Missile Fin Control

et al. 2017

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“…Further we recall that the nonlinear friction in the motion control can be efficiently compensated by explicit observerbased methods (see e.g. [14]). However, the latter requires a more elaborated friction modeling and identification, and is out of scope in this work.…”

Section: Bldc Motor Payloadmentioning

confidence: 99%

Impulse-based discrete feedback control of motion with damping uncertainties

Ruderman

Iwasaki

2014

IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society

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Abstract-The paper introduces the novel discrete feedback control called here impulse-based. It is believed that the proposed control scheme can be an adequate alternative to other existent robust control methods, like sliding-mode or bang-bang control, when solving the motion control problem with damping uncertainties. The impulse-based control paradigm is introduced while been close related to the well-known impulsive hybrid systems. The stable control convergence is shown for the bounded but unknown positive damping. Also the design of appropriate control parameters is provided in the closed analytic form. Numerical simulation example demonstrates the main control principles and helps to understand its advantages and drawbacks. An experimental case study of the motion control with nonlinear frictional uncertainties in vicinity to position settling discloses the practical relevance of the proposed method.

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“…It is mainly used in the application such as robotics, visual surveillance (7), Human-to-Machine Interface (HMI) (8), video editing (9), motion control (10), (5), (11), (12), and activity recognition (6) to extract the target status. There are number of visual tracking systems to identify the targeted region from the frame of a given video.…”

Section: Introductionmentioning

confidence: 99%

Background Normalization and Texture Pattern-Based Video Segmentation for Visual Tracking

Rajagopal¹,

Sankaragomathi²

2017

Int. Res. J. Pharm.

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Visual tracking is the task of estimating the path of a target object in each frame of the video. Various tracking approaches are developed for tracking the position of the target. However, the tracker may fail to find the correct position, if the appearance of the target is similar to the background. This paper proposes a background normalization technique based on the textural pattern analysis to verify the matching of the features for the target region analysis. In this work, a novel model of background clustering is presented by using Multi-Weighted Chain Prediction (MWCP) algorithm for the uneven background. A Neighborhood Differential Binary Pattern (NDBP) is proposed to extract the texture for suppressing the shadow pixels in the image frame. From this equalized frame of the given video, the frame is split into several grids. From the grid format frame, the histogram features of the targeted frame are extracted, and each grid in that frame is classified. The Multi-Grid Weighted Classifier (MGWC) algorithm is used to find the matching of the grids to separate the background and foreground. This type of visual tracking system is robust over the sudden illumination changes and dynamic background. The experimental result proves that the proposed approach yields better precision, recall and F-score performance than the existing tracking approaches.

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Tracking Control of Motor Drives Using Feedforward Friction Observer

Cited by 72 publications

References 24 publications

Multi-Mode Electric Actuator Dynamic Modelling for Missile Fin Control

Multi-Mode Electric Actuator Dynamic Modelling for Missile Fin Control

Impulse-based discrete feedback control of motion with damping uncertainties

Background Normalization and Texture Pattern-Based Video Segmentation for Visual Tracking

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