A review on two-link flexible manipulators

The attitude control problem is addressed for a quadrotor system subject to the modeling uncertainties and unknown disturbances. A novel attitude control scheme is proposed based on nonsingular fast terminal sliding mode (NFTSM) technique. First, the tracking differentiator (TD) is designed to obtain the smooth tracking signal and its derivative. Then, the extended state observer (ESO) is constructed to provide the estimate of the modeling uncertainties and unknown disturbances. With the designed TD and ESO, a novel NFTSM controller is developed such that tracking error converges to zero in finite time. The transient-state and the steady-state performances are both achieved with the new controller. Finally, the simulation and real experiment results verify the effectiveness and superiority of the proposed control method.

Tracking differentiator and extended state observer-based nonsingular fast terminal sliding mode attitude control for a quadrotor

In this paper, an adaptive fuzzy state feedback control method is proposed for the single-link robotic manipulator system. The considered system contains unknown nonlinear function and actuator saturation. Fuzzy logic systems (FLSs) and a smooth function are used to approximate the unknown nonlinearities and the actuator saturation, respectively. By combining the command-filter technique with the backstepping design algorithm, a novel adaptive fuzzy tracking backstepping control method is developed. It is proved that the adaptive fuzzy control scheme can guarantee that all the variables in the closed-loop system are bounded, and the system output can track the given reference signal as close as possible. Simulation results are provided to illustrate the effectiveness of the proposed approach.

Adaptive Fuzzy Backstepping Tracking Control for Flexible Robotic Manipulator

Adaptive fuzzy neural network control for a space manipulator in the presence of output constraints and input nonlinearities

This paper deals with the problem of adaptive fuzzy tracking control for a single-link robotic manipulator coupled to a brushed direct current motor with actuator saturation. Fuzzy logic systems are used to approximate the unknown nonlinear systems. The filtered signals are introduced to eliminate the interference of high-frequency signals. The virtual/actual control inputs are derived from the solutions of a series of dynamical equations. Under the framework of the backstepping control design, an observer-based output feedback control design scheme is proposed. It is proved that the control approach can guarantee that all the signals in the closed-loop system are bounded.

Adaptive fuzzy backstepping output constraint control of flexible manipulator with actuator saturation

Back-stepping control of two-link flexible manipulator based on an extended state observer

In this paper, we propose a novel control scheme to solve trajectory tracking problem of two-link flexible manipulator system. The partly linear flexible system is obtained via using the nonlinear decoupling feedback control method. An extended state observer is introduced to estimate the system's nonlinear part. Back-stepping controller is designed to guarantee manipulator tracking desired trajectory. Simulation results demonstrate the effectiveness of the developed techniques in this paper.

Yang Yu

Papers

Back-stepping control of two-link flexible manipulator based on an extended state observer

Back-stepping control of two-link flexible manipulator based on extended state observer