Power-Shaping Model-Based Control With Feedback Deactivation for Flexible-Joint Robot Interaction
نویسندگان
چکیده
This letter presents a novel control methodology that is based on an amalgamation of model-based, power-shaping (PSC), and feedback deactivation. It has been hypothesised proportional position flexible-joint robots can impinge their interactional performance, since causes ‘stiffening’ the robot's joints. In order to reduce reliance upon terms, this work proposes usage feedforward, model-based whilst accounting for both actuator link coordinates. The introduced PSC signal enables stable tracking control, even when controller's error term employs solely non-collocated state feedback. also demonstrated user stably deactivate pertaining specific joints, in real-time manner, so as further enhance performance. However, deactivation lead abrupt generation unfeasible signals, variable impedance (VIC) technique proposed overcome limitation. Despite VIC's potential inject undesirable amounts energy into closed-loop system, amended guarantee stability preservation. Moreover, achieve saturation prevention efficient Lyapunov function unconstrained modulation system's active gains. Experimental results involving Rethink Robotics Baxter robot corroborate theoretical analyses, addition demonstrating performance improvements be achieved via methodology.
منابع مشابه
CONTROL OF FLEXIBLE JOINT ROBOT MANIPULATORS BY COMPENSATING FLEXIBILITY
A flexible-joint robot manipulator is a complex system because it is nonlinear, multivariable, highly coupled along with joint flexibility and uncertainty. To overcome flexibility, several methods have been proposed based on flexible model. This paper presents a novel method for controlling flexible-joint robot manipulators. A novel control law is presented by compensating flexibility to form a...
متن کاملA New Type-2 Fuzzy Systems for Flexible-Joint Robot Arm Control
In this paper an adaptive neuro fuzzy inference system based on interval Gaussian type-2 fuzzy sets in the antecedent part and Gaussian type-1 fuzzy sets as coefficients of linear combination of input variables in the consequent part is presented. The capability of the proposed method (we named ANFIS2) to function approximation and dynamical system identification is shown. The ANFIS2 structure ...
متن کاملControl of Flexible Link Robot using a Closed Loop Input-Shaping Approach
This paper is has addressed the Single Flexible Link Robot. The dynamical model is derived using Euler-Lagrange equation and then a proper controller is designed to suppress a vibration based-on Input-Shaping (IS) method. But, IS control method is an open loop strategy. Due to the weakness of open loop control systems, a closed loop IS control system is proposed. The achieved closed loop c...
متن کاملParticle Swarm Optimization Based Parameter Identification Applied to a Target Tracker Robot with Flexible Joint
This paper focuses on parameter identification of a target tracker robot possessing flexible joints using particle swarm optimization (PSO) algorithm. Since, belt and pulley mechanisms are known as flexible joints in robotic systems, their elastic behavior affecting a tracker robot is investigated in this work. First, dynamic equations governing the robot behavior are extracted taking into acco...
متن کاملModel-Independent Control of a Flexible-Joint Robot Manipulator
Flexibility at the joint of a manipulator is an intrinsic property. Even “rigid-joint” robots, in fact, possess a certain amount of flexibility. Previous experiments confirmed that joint flexibility should be explicitly included in the model when designing a high-performance controller for a manipulator because the flexibility, if not dealt with, can excite system natural frequencies and cause ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE robotics and automation letters
سال: 2022
ISSN: ['2377-3766']
DOI: https://doi.org/10.1109/lra.2022.3144781