Tracking Fractional Power Rate sliding mode control for a 4DOF manipulator robot
Sana Stihi, Raouf Fareh, Sofiane Khadraoui, Kheireddine Choutri, Maâmar Bettayeb
- 发表年份
- 2023
- 引用次数
- 7
摘要
This study presents a control strategy combining fractional calculus and the power rate sliding control theory for a manipulator robot with Four Degrees of Freedom (4-DOF). The suggested Fractional Power Rate Sliding Mode Control (FPRSMC) aims to track both joint space and workspace desired trajectories. The enhancements to the sliding mode control include applying fractional calculus to the control law’s sliding surface to improve the power law reaching mode. Experimental evaluation of the suggested control method is performed on a MICO 4-DOF manipulator robot, and it is contrasted with an Improved Power Rate Sliding Mode Control (IPRSMC) optimized with Particle Swarm optimization (PSO) to demonstrate its efficiency and performance. The closed-loop system’s stability is also proven by applying the Lyapunov theory. The findings show that the suggested control achieves better tracking performance than the optimized improved power rate sliding controller.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002