in industrial robotic manipulator, due to the presence of quite nonlinear dynamic and structural and nonstructural uncertainties, a precise model is not easily obtained. as a result, designing a controller with a suitable function based on system model is a challenging issue. sliding mode control is a robust control with numerous applications which can overcome the aforementioned uncertainties....

This study presented an improved adaptive nonlinear terminal sliding mode control technique for the manipulator robot to achieve better adaptability and faster finite-time convergence. First, self-updating algorithm will be developed relax problems of fixed gain main proposed controller. Next, neural network estimator is applied by estimating dynamics increase tracking performance. In addition,...

In this paper, present the recent advances in bimanual industrial manipulators have led to an increased interest specific problems pertaining dual arm manipulation. This paper presents a control algorithm for robot that can move object working plane both translation and rotation ways. Different from other research extend algorithms single because of fixed grasp assumption, has considered fricti...

The purpose of this study is to solve defects of the existing control strategy long convergence time, sliding mode chattering and so on. For Sensorless Brushless DC motor control strategy, a modified extended Kalman state correction estimation scheme is proposed, and dual mode high-order nonsingular terminal hybrid sliding mode control technology is put forward. TMS320F2812DSP core controller a...

A global non-singular terminal sliding mode controller for second order uncertain nonlinear dynamic systems, which enables enables finite time reachibility and elimination of the singularity problem associated with conventional terminal sliding mode control. The tracking precision problem is also explored. The relationship between the tracking precision and the width of the saturation function ...