An adaptive variable structure control of the robot satellite system with floating base in Cartesian space

2016 ◽  
Vol 230 (18) ◽  
pp. 3241-3252 ◽  
Author(s):  
Fuhai Zhang ◽  
Yili Fu ◽  
Shuguo Wang
Keyword(s):  
Trajectory Tracking ◽  
Control Method ◽  
Variable Structure Control ◽  
Variable Structure ◽  
Satellite System ◽  
External Disturbances ◽  
Structure Control ◽  
Cartesian Space ◽  
Floating Base ◽  
Parameter Variations

Aiming at the non-parametric and time-varying parametric uncertainty problems such as the external disturbances, smooth parameter variations and jump parameter changes existing in the robot satellite system with floating base, an adaptive variable structure trajectory tracking control method in Cartesian space is proposed. The dynamics equation in joint space of the robot satellite system with floating base is established based on the extended manipulator model, and the dynamics model of the system in Cartesian space is derived considering external disturbances to the manipulator and the base simultaneously. An adaptive variable structure controller is designed by adopting the composite adaptive control combined with variable structure control under the condition that the bounds of external disturbances and parameter variations are unknown, and the robustness analysis of the controller is performed. The simulation of a two-link planar robot satellite system with floating base adopting the control method presented is implemented. The simulation result shows that the end-effector of the robot satellite with floating base has a good capability of trajectory tracking in Cartesian space.

Variable Structure Hybrid Control of Manipulators in Unconstrained and Constrained Motion

1996 ◽  
Vol 118 (2) ◽  
pp. 327-332 ◽  
Author(s):  
Robert R. Y. Zhen ◽  
Andrew A. Goldenberg
Keyword(s):  
Control Method ◽  
Hybrid Control ◽  
Sliding Mode ◽  
Robot Manipulators ◽  
Hierarchical Control ◽  
Variable Structure Control ◽  
Variable Structure ◽  
Control Algorithms ◽  
Constrained Motion ◽  
Structure Control

This paper addresses the problem of robust hybrid position and force control of robot manipulators. Variable structure control with sliding mode is used to implement the hybrid control strategy. Two variable structure control algorithms are developed in task space. One of the algorithms is based on hierarchical control method, and the other is developed for control of robot manipulators used to carried out both unconstrained and constrained tasks.

Robust motion control for multi-split transmission line four-wheel driven mobile operation robot in extreme power environment

2020 ◽  
Vol 47 (2) ◽  
pp. 219-229 ◽  
Author(s):  
Hong Jun Li ◽  
Wei Jiang ◽  
Dehua Zou ◽  
Yu Yan ◽  
An Zhang ◽  
...  
Keyword(s):  
Motion Control ◽  
Trajectory Tracking ◽  
Control Method ◽  
Sliding Mode ◽  
Variable Structure ◽  
Control Model ◽  
Joint Motion ◽  
Content Type ◽  
Structure Control ◽  
Sliding Mode Variable Structure

Purpose In the multi-splitting transmission lines extreme power environment of ultra-high voltage and strong electromagnetic interference, to improve the trajectory tracking and stability control performance of the robot manipulator when conduct electric power operation, and effectively reduce the influence of disturbance factors on the robot motion control, this paper aims to presents a robust trajectory tracking motion control method for power cable robot manipulators based on sliding mode variable structure control theory. Design/methodology/approach Through the layering of aerial-online-ground robot three-dimensional control architecture, the robot joint motion dynamic model has been built, and the motion control model of the N-degrees of freedom robot system has also been obtained. On this basis, the state space expression of joint motion control under disturbance and uncertainty has been also derived, and the manipulator sliding mode variable structure trajectory tracking control model has also been established. The influence of the perturbation control parameters on the robot motion control can be compensated by the back propagation neural network learning, the stability of the controller has been analyzed by using Lyapunov theory. Findings The robot has been tested on a analog line in the lab, the effectiveness of sliding mode variable structure control is verified by trajectory tracking simulation experiments of different typical signals with different methods. The field operation experiment further verifies the engineering practicability of the control method. At the same time, the control method has the remarkable characteristics of sound versatility, strong adaptability and easy expansion. Originality/value Three-dimensional control architecture of underground-online-aerial robots has been proposed for industrial field applications in the ubiquitous power internet of things environment (UPIOT). Starting from the robot joint motion, the dynamic equation of the robot joint motion and the state space expression of the robot control system have been established. Based on this, a robot closed-loop trajectory tracking control system has been designed. A robust trajectory tracking motion control method for robots based on sliding mode variable structure theory has been proposed, and a sliding mode control model for the robot has been constructed. The uncertain parameters in the control model have been compensated by the neural network in real-time, and the sliding mode robust control law of the robot manipulator has been solved and obtained. A suitable Lyapunov function has been selected to prove the stability of the system. This method enhances the expansibility of the robot control system and shortens the development cycle of the controller. The trajectory tracking simulation experiment of the robot manipulator proves that the sliding mode variable structure control can effectively restrain the influence of disturbance and uncertainty on the robot motion stability, and meet the design requirements of the control system with fast response, high tracking accuracy and sound stability. Finally, the engineering practicability and superiority of sliding mode variable structure control have been further verified by field operation experiments.

scholarly journals Experimental study on sliding mode variable structure control of active vibration isolation system of floating raft under multiple excitations

2018 ◽  
Vol 37 (4) ◽  
pp. 1176-1187
Author(s):  
Xianglong Wen ◽  
Kang Yi ◽  
Chunsheng Song ◽  
Jinguang Zhang
Keyword(s):  
Vibration Isolation ◽  
Control Method ◽  
Sliding Mode ◽  
Reference Signal ◽  
Variable Structure Control ◽  
Variable Structure ◽  
Vibration Signal ◽  
Isolation System ◽  
Structure Control ◽  
Sliding Mode Variable Structure

The frequency components of vibration signal in vibration isolation system under multiple excitations are quite complex.Self-adaptive feedforward control method based on Least Mean Square algorithm has strict requirements for reference signal, which results in a certain restriction on its practical application. Sliding mode variable structure control method needs neither complicated reference signal nor accurate mathematical model. It has the strong robustness for external disturbance and system parameter perturbation, and the physical implementation is simple. To this end, application of sliding mode variable structure control method is studied. First, mathematical model of the control channel through system is established for identification. Second, the discrete sliding mode variable structure controller based on state-space model is designed to carry out simulation and experiment. The experimental result indicates that root mean square value of vibration signal after control is decreased by 57.90%, of which the amplitudes of two main frequency components 17 and 25 Hz reduce by 42.66 and 72.71%, respectively. This shows that sliding mode variable structure control is an effective control method for active vibration isolation of floating raft under multiple excitations.

Research of Trajectory Tracking Algorithms for Industrial Robot

2014 ◽  
Vol 568-570 ◽  
pp. 922-926
Author(s):  
Cheng Liu ◽  
Xue Ren Li ◽  
Yun Ze Li
Keyword(s):  
Trajectory Tracking ◽  
Control Algorithm ◽  
Sliding Mode ◽  
Industrial Robot ◽  
Variable Structure Control ◽  
Variable Structure ◽  
Fast Variable ◽  
Control Effect ◽  
Improve Response Rate ◽  
Structure Control

the paper firstly designs dynamics model of a 6-DOF vertical multi-joint robot and simplifies it, aiming at the existing algorithms PID path tracking control, the paper put forward two new algorithms based on the analysis of the variable structure control: fast variable structure control algorithm and adaptive fuzzy variable structure control algorithm. The fast variable structure control algorithm can improve the control effect by optimizing the reaching movement. By introducing adaptive processing and fuzziness into reaching law of traditional variable structure control, the reaching motion is improved during sliding mode process. The results show that the two algorithms can not only improve response rate, but also ensure the accuracy of trajectory tracking, as well as the advantages of simple structure, high robustness and adaptability.

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