针对六自由度机械臂控制系统,提出一种基于粒子群优化(PSO)算法的全局快速终端滑模控制方法,以更大程度地减小系统的抖振,提高系统的响应速度.对于机械臂多输入多输出的特点,为了方便设计,将系统划分为6个二阶子系统,对各个关节进行设计,分析克服控制律的奇异性,同时运用Lyapunov理论证明系统的稳定性,并基于PSO算法完成控制参数的优化.实验结果表明:优化后的控制方法不仅可以提高系统的快速性,还可以明显减小系统的抖振,使系统具有良好的动静态性能.%In this paper, we propose a global fast terminal sliding mode (GFTSM) control method based on particle swarm optimization (PSO) for the 6-DOF (degrees of freedom) manipulator control system to reduce chattering and improve response times of the system.We divided the multi-input multi-output (MIMO) 6-DOF system into six second-order subsystems, each joint designed and analyzed to overcome the singularity of control law.Further, we demonstrated the stability of our system using Lyapunov theory and optimized the control parameters based on the PSO algorithm.Our simulation results show that the optimized control method not only improves the speed and response times of the system, but also reduces the chattering, thus producing a system with good dynamics and static performance.
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