基于预测观察者的双速规定的性能控制,用于视觉服务的机器人操纵器,视图限制
IEEE transactions on cybernetics
|March 14, 2025
概括
本研究介绍了使用基于图像的视觉伺服 (IBVS) 的机器人操纵器的双速控制方法. 该方法提高了控制效率,并确保满足视野 (FOV) 约束.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 控制系统 控制系统
- 计算机视觉 计算机视觉
背景情况:
- 基于图像的视觉伺服 (IBVS) 系统面临着双速控制和视野 (FOV) 限制的挑战.
- 低摄像头采样带宽可能会限制机器人控制器在更新伺服命令方面的效率.
研究的目的:
- 为解决机器人操纵器在IBVS中的双速率和视图限制.
- 在带宽限制下提高机器人控制系统的效率和响应能力.
主要方法:
- 预测观察员 (PO) 的设计是为了在高水平采样间隔期间预测系统输出.
- 开发了一种基于双速积分的规定的性能控制 (DRIPPC) 方法,将软传感和测量信号结合起来.
- 该DRIPPC方法采样低频状态信号,同时产生高频控制动作.
主要成果:
- 拟议的控制方法使机器人操纵器能够快速响应.
- 保持严格遵守视野 (FOV) 限制.
- 通过对通用机器人5 (UR5) 操纵器的实验来验证有效性.
结论:
- 开发的双利率控制战略有效地应对IBVS的挑战.
- 这种方法可以提高机器人系统的性能,同时尊重操作限制.
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