A trajectory tracking control strategy based on finite element method for planar three-link underactuated manipulator

Author(s):  
Yawu Wang ◽  
Xuzhi Lai ◽  
Haoqiang Chen ◽  
Pan Zhang ◽  
Min Wu
2014 ◽  
Vol 602-605 ◽  
pp. 912-915
Author(s):  
Mao Yue Li ◽  
Xu Dong Li ◽  
Ji Peng Guo ◽  
Jing Xue ◽  
Yan Ting Liu

A control platform was constructed with the features of a car carrier and two step motors, which could be controlled by changing the motors’ speed and direction based on DSP. Two motors were directly connected with the front wheels (they are both the driving wheels and steering wheels) to realize a straight line or curve driving. The hardware circuit of the experimental platform control part was designed to solve the relative connection problems, including among the development board, step motor controller, step motor; among the computer, the emulator, the development board. The control strategy of the step motor was studied based on DSP. To verify the trajectory tracking control function of the experimental platform, a circular trajectory was verified with the tracking control strategy.


2020 ◽  
Author(s):  
Jiang Han ◽  
Siyang Yang ◽  
Lian Xia ◽  
Ye-Hwa Chen

Abstract In this research, a novel position trajectory tracking control architecture has been constructed for an underactuated quadrotor unmanned aerial vehicle (UAV) with uncertainties and disturbances. Primarily, we divide the whole dynamic system into an underactuated position subsystem and a fully-actuated attitude subsystem. For the position subsystem, we have transformed it into a fully-actuated system by constructing a virtual PD controller, and this controller can render the position tracking error asymptotically stable. Besides, based on the position controller designed for quadrotor UAV, the desired attitudes, i.e. roll, pitch and yaw angles, will be derived. Next, as for the attitude subsystem which is sensitive to uncertainties and external disturbances, a novel robust attitude constraint-following controller is proposed for this aircraft, this attitude controller can not only guarantee the uniform boundedness and uniform ultimate boundedness of constraint deviation, but also does not requiring more information of uncertainties and disturbances except their bounds. Eventually, the simulations have demonstrated a sound tracking performance of our proposed control strategy for quadrotor UAV even in the presence of uncertainties and disturbances.


2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Pengfei Zhang ◽  
Qiyuan Chen ◽  
Tingting Yang

This paper investigates the trajectory tracking problem of autonomous ground vehicles (AGVs). The dynamics considered feature external disturbances, model uncertainties, and actuator dead zones. First, a novel time-varying yaw guidance law is proposed based on the line of sight method. By a state transformation, the AGV is proved to realize trajectory tracking control under the premise of eliminating guidance deviation. Second, a fixed time dead zone compensation control method is introduced to ensure the yaw angle tracking of the presented guidance. Furthermore, an improved fixed-time disturbance observer is proposed to compensate for the influence of the actuator dead zone on disturbance observation. Finally, the trajectory tracking control strategy is designed, and simulation comparison shows the effectiveness of the compensate method. The CarSim–MATLAB cosimulation shows that the proposed control strategy effectively makes the AGV follow the reference trajectory.


1997 ◽  
Vol 119 (4) ◽  
pp. 727-735 ◽  
Author(s):  
Yoshifumi Morita ◽  
Hiroyuki Ukai ◽  
Hisashi Kando

In this paper, a robust control strategy is proposed for the trajectory tracking control of multi-link elastic robot manipulators. The robustness against both of the structured uncertainty caused by the nonlinear mechanical structure and the unstructured one caused by elasticity of links is taken into account in designing controllers. For this purpose the model of elastic robot manipulators is decomposed into the slow model and the fast model by using an integral manifold approach. The slow controller, which is robust against the structured uncertainty, is designed for the slow model on the basis of VSS theory. On the other hand, the fast controller, which is robust against the unstructured uncertainty, is designed for the fast model on the basis of H∞ control theory. Then the composite control is constructed with the slow controller and the fast controller. Some results of numerical simulations are presented to show the effectiveness of this design procedure.


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