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多臂协同复合机器人的改进PID柔顺控制系统设计

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针对多臂协同复合机器人在焦炉顶炉口执行多臂协同测温作业时的稳定性,本文设计一种基于改进粒子群优化(IPSO)算法的PID柔顺控制系统.对于焦炉顶炉口测温,首先设计了多臂协同复合机器人来实现移动过程中的焦炉顶炉口测温作业;其次搭建机械腿与PID控制模型;并运用于PID控制器参数整定,与Z-N法进行比较,改进粒子群的PID柔顺控制模型调节时间缩短26 s,超调量更小;最后,通过Simulink与Adams联合仿真得到复合机器人的各运动参数曲线.结果显示,多臂协同复合机器人在前进2000 mm过程中,机身只有0.45 mm的偏移,整体运动速度最大可达100 mm/s,膝关节最大关节角速度稳定在48(°)/s和54(°)/s,在机器人稳定运行范围内.结果表明多臂协同复合机器人稳定运动,能够很好地实现焦炉顶炉口测温作业.
Design of improved PID compliant control system for multi-arm collaborative composite robot
In order to solve the problem of stability of the multi-arm collaborative composite robot in performing multi-arm collaborative temperature measurement operation at the top furnace mouth of the coke oven,a PID compliance control system based on improved particle swarm optimization(IPSO)is designed.For the temperature measurement of the coke oven top furnace mouth,firstly,a multi-arm collaborative composite robot is designed to realize the temperature measurement operation of the coke oven top furnace mouth during the moving process.Secondly,the mechanical leg and PID control model are built up,and applied to parameter tuning of the PID controller,compared with the Z-N method,the adjustment time of the PID compliance control model of the IPSO is shortened by 26 s,and the overshoot is smaller.Finally,curves of motion parameters of the composite robot are obtained by co-simulation of Simulink and Adams.The results show that in the process of advancing 2000 mm,the offset of fuselage of the multi-arm collaborative composite robot is only 0.45 mm,the overall movement speed can reach a maximum of 100 mm/s,and the maximum angular velocity of the knee joint is stable at 48 (°)/s and 54(°)/s,which is within the stable operation range of the robot.The results show that the multi-arm collaborative composite robot can move stably and can well realize the temperature measurement operation of the coke oven top furnace mouth.

multi-arm collaborationimproved particle swarm optimization algorithmPID control

昝晓磊、高强、严鹏飞、蒋方宇、李亚宁

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中北大学机械工程学院,山西太原030051

多臂协同 改进粒子群优化算法 PID控制

山西省基础研究计划项目中北大学先进制造技术山西省重点实验室开放课题研究基金资助项目

202203021222053XJZZ202207

2024

传感器与微系统
中国电子科技集团公司第四十九研究所

传感器与微系统

CSTPCD北大核心
影响因子:0.61
ISSN:1000-9787
年,卷(期):2024.43(9)