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PSO Tuned Super-Twisting Sliding Mode Controller for Trajectory Tracking Control of an Articulated Robot

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Publicado en:Journal of Electrical and Computer Engineering vol. 2025 (2025)
Autor principal: Zewdalem Abebaw Ayinalem
Otros Autores: Abrham Tadesse Kassie
Publicado:
John Wiley & Sons, Inc.
Materias:
Particle swarm optimization
Accuracy
Direct current
Robots
Unmanned aerial vehicles
Noise
Twisting
Tracking errors
Computer simulation
Robotics
Friction
Design optimization
Simulation
Robust control
Control algorithms
Disturbances
Tracking control
Trajectories
Root-mean-square errors
Controllers
Sliding mode control
Algorithms
Parameters
Permanent magnets
Robot control
Control systems
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Resumen:These days, robots excel at speed, precision, and reliability, surpassing human capabilities. Articulated manipulators, though, pose challenges due to their complex, nonlinear nature and susceptibility to uncertainties such as parameter changes, joint friction, and external disturbances. Designing robust trajectory tracking control for these dynamics is a key focus. This paper introduces a novel method that integrates SolidWorks modeling to create precise digital representations of the robot’s mechanical structure, facilitating easier development and simulation of control algorithms. To drive the robot joints, a permanent magnet direct current motor is used. Initially, sliding mode control (SMC) was employed, but it resulted in chattering in the control’s input response. To mitigate this issue and enhance trajectory tracking, this paper designs a super-twisting SMC (STSMC). Intelligent particle swarm optimization (PSO) is employed to obtain optimal parameter values for STSMC, ensuring consistency, stability, and robustness. A comparative analysis was conducted among PSO–STSMC, STSMC, PSO–SMC, and classical SMC. Numerical simulations revealed that the tracking error and root mean square error (RMSE) improvements were approximately <inline-formula>18.33%</inline-formula>, <inline-formula>16.66%</inline-formula>, and <inline-formula>14.29%</inline-formula> for PSO–STSMC compared to STSMC, and <inline-formula>79.50%</inline-formula>, <inline-formula>78.04%</inline-formula>, and <inline-formula>25.0%</inline-formula> compared to PSO–SMC for each of the three joints under ideal conditions, respectively. Numerical simulations demonstrate the proposed controller’s robustness to external disturbances, parameter variations, and joint friction, effectively mitigating chattering effects in the control signal. Notably, this article highlights the potential of the PSO–STSMC for practical implementation in articulated robotic systems and underscores its significance in advancing robust trajectory tracking control, providing insights into articulated robot control strategies.
ISSN:2090-0147
2090-0155
DOI:10.1155/jece/1171569
Fuente:Advanced Technologies & Aerospace Database