Abstract

This paper describes the design of a robust composite high-order super-twisting sliding mode controller (HOSTSMC) for robot manipulators. Robot manipulators are extensively used in industrial manufacturing for many complex and specialized applications. These applications require robots with nonlinear mechanical architectures, resulting in multiple control challenges in various applications. To address this issue, this paper focuses on designing a robust composite high-order super-twisting sliding mode controller by combining a higher-order super-twisting sliding mode controller as the main controller with a super-twisting higher-order sliding mode observer as unknown state measurement and uncertainty estimator in the presence of uncertainty. The proposed method adaptively improves the traditional sliding mode controller (TSMC) and the estimated state sliding mode controller (ESMC) to attenuate the chattering. The effectiveness of a HOSTSMC is tested over six degrees of freedom (DOF) using a Programmable Universal Manipulation Arm (PUMA) robot manipulator. The proposed method outperforms the TSMC and ESMC, yielding 4.9% and 2% average performance improvements in the output position root-mean-square (RMS) error and average error, respectively.

Highlights

  • Robot manipulators are extensively used in industry for specialized tasks

  • To examine the power of the control algorithm based on high-order super-twisting sliding mode controller (HOSTSMC), we investigate twoin cases defined as follows

  • This paper presented a nonlinear model-based method by combining higher-order sliding mode controller with a super-twisting higher-order sliding mode observer as an undefined super-twisting sliding mode controller with a super-twisting higher-order sliding mode observer as and uncertain input estimator for robot manipulators

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Summary

Introduction

Robot manipulators are extensively used in industry for specialized tasks. These systems are nonlinear, time-varying, and dynamically coupled. The design of a robust and stable controller for these systems is very complicated. Research in the field of control techniques for industrial robots has increased. The performance of industrial robot manipulators has increased in terms of stability and safety due to developments in robust controller design, fault diagnosis algorithms and fault tolerant techniques. Designing a stable and reliable control method for a robot manipulator is important for real-world applications [1,2]

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