2022
DOI: 10.1109/access.2022.3153839
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Synchronous Control of 2-D.O.F Master-Slave Manipulators Using Actuators With Asymmetric Nonlinear Dead-Zone Characteristics

Abstract: Date of publication xxxx 00, 0000, date of current version xxxx 00, 0000.

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Cited by 10 publications
(13 citation statements)
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“…where, M fj = B f v j , B f is resistance torque coefficient, M fj is resistance torque of traction shaft, T ej is electromagnetic torque, v j is angular velocity of traction shaft, R j is traction roller radius, and J j is traction roller equivalent moment of inertia. According to the formula (6) and the model of PMSM, 24 the tension system model of the traction shaft can be modified as follows…”
Section: Model Of Tension System On the Side Of The Traction Shaftmentioning
confidence: 99%
See 1 more Smart Citation
“…where, M fj = B f v j , B f is resistance torque coefficient, M fj is resistance torque of traction shaft, T ej is electromagnetic torque, v j is angular velocity of traction shaft, R j is traction roller radius, and J j is traction roller equivalent moment of inertia. According to the formula (6) and the model of PMSM, 24 the tension system model of the traction shaft can be modified as follows…”
Section: Model Of Tension System On the Side Of The Traction Shaftmentioning
confidence: 99%
“…[3][4][5] Zheng et al improved the master-slave synchronous control by compensating for the actuator's dead-zone effect and enhancing the synchronization performance of the 2-DOF master-slave manipulator. 6 Li et al proposed a variable-gain adjacent cross-coupling controller, which adjusts the gain compensation through a fuzzy control algorithm. The synchronous control has better synchronization, higher tracking accuracy and coordination accuracy.…”
Section: Introductionmentioning
confidence: 99%
“…The proposed approach was developed by combining graph theory and sliding mode control. In 2022, a synchronous control [16] was proposed for a 2-DOF master-slave manipulator against the asymmetric nonlinear dead-zone characteristics. The dead-zone issues were managed by the recursive least squares method.…”
Section: Introductionmentioning
confidence: 99%
“…27 Deadzone estimation can also help to increase the quality of system control. In the work by Jung and Jeon, 28 the estimation of deadzone behavior has been done using recursive least square, and to control the system, passivity-based sliding mode control technique along with inverse deadzone control has been used. Due to deadzone uncertainties, adaptive control and backstepping method have also been used along with neural network estimations in some works.…”
Section: Introductionmentioning
confidence: 99%