Adaptive fuzzy teleoperation control method based on disturbance observer
A disturbance observer, adaptive fuzzy technology, applied in the direction of adaptive control, general control system, control/regulation system, etc., can solve problems such as nonlinearity, complexity, system performance impact, etc., to achieve the effect of improving stability
Patent Information
- Authority / Receiving Office
- CN · China
- Current Assignee / Owner
- Publication Date
- 2019-02-19
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Abstract
Description
technical field
[0001] The invention relates to the technical field of teleoperation robot control, and relates to an adaptive fuzzy control method of a bilateral teleoperation system based on an interference observer. Background technique
[0002] Teleoperation technology realizes the operation control of remote tasks in dangerous and harmful environments by combining human initiative and robot adaptability.
[0003] The bilateral teleoperation human operating system is mainly composed of five parts: the operator, the master and its controller, the communication network, the slave and its controller, and the external environment. Since the robot is in the environment where the task will be performed, such as a remote place, or a dangerous environment that is inaccessible to humans. Under master-slave teleoperation control, the human operator manipulates the master robot to perform a certain task or perform a certain action, transmits the action instruction to the slave rob...
Examples
Embodiment Construction
[0091] The embodiments of the present invention will be further described below in conjunction with the accompanying drawings. The following embodiments are used to illustrate the present invention, and do not limit the application of the present invention.
[0092] The adaptive fuzzy teleoperation control method based on the disturbance observer mainly includes the following operations: S1: Establish the dynamic model and kinematics mathematical model of the teleoperation system, S2: Aim at the unknown external disturbance at the slave end, add Disturbance observer, S3: Aiming at the uncertainty of the teleoperation system, design master-slave adaptive fuzzy controllers, estimate uncertain parameters online, and realize the stability and synchronization of master-slave operations.
[0093] The specific implementation steps are as follows:
[0094] The first step: establish a dynamic model for the master and slave manipulators,
[0095] In the case of mutual contact with the ...