首页|Study Findings on Robotics Published by Researchers at Mepco Schlenk Engineering College (QCASBC: An algorithm for hardwarein-the-loop simulation of 3-link RRR robotic manipulator)
Study Findings on Robotics Published by Researchers at Mepco Schlenk Engineering College (QCASBC: An algorithm for hardwarein-the-loop simulation of 3-link RRR robotic manipulator)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New study results on robotics have been published . According to news originating from Tamil Nadu, India, by NewsRx editors, the r esearch stated, "In this paper, a quick convergence adaptive structure is propos ed for trajectory tracking of an articulated type robotic manipulator using the Hardware in the Loop (HIL) simulation technique." The news editors obtained a quote from the research from Mepco Schlenk Engineeri ng College: "A novel Nonlinear Quick Convergence Adaptive Sliding Backstepping C ontrol (QCASBC) algorithm is implemented on a C2000 real-time controller board. The performance of the proposed control algorithm is inspected concerning the sl iding mode PID (SM-PID) control technique to estimate its correlation with the p roposed algorithm. The experimental part of the HIL simulation tests has been ca rried out on a simulated model of athree-link serial robot manipulator. A dynam ic model of the robotic manipulator has been developed using Matlab Simulink sof tware and its performance is analyzed using the HIL technique via a C2000 real-t ime controller for tracking the desired trajectory. Results show that the speed of convergence while tracking the desired trajectory of the manipulator is bette r in the proposed algorithm. It is also estimated that the positional error of t he QCASBC algorithm is superior to the SM-PID control algorithm."
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