目的 针对胶印机墨键电机控制中存在的参数时变、负载扰动等问题,设计一种基于粒子群优化（PSO）的超螺旋滑模控制系统。方法 分析墨键控制原理,建立无刷直流电机（BLDC）的数学模型;设计非线性增益超螺旋滑模控制器,采用PSO算法对改进的非线性增益超螺旋滑模参数进行离线全局优化。通过Lyapunov稳定性理论证明优化后系统的稳定性。搭建以无刷直流电机为执行机构的墨键电机控制仿真系统。结果 仿真实验结果表明,在外界条件变化下,相较于其他控制算法,优化后系统的稳定性提高,响应时间缩短了12.5%~81.68%。该方法将智能优化控制参数与改进滑模技术相结合,使系统具有更好的准确性与稳定性。结论 以胶印机为出发点,将粒子群优化方法、改进后的超螺旋滑模控制结合在一起引入胶印机墨键电机控制系统,经过研究与仿真实验,提高了胶印机墨键电机控制性能,为印刷装备智能控制提供了新的尝试。
Abstract
The work aims to design a super-helical sliding mode control system based on particle swarm optimization (PSO) to deal with the problems of time-varying parameters and load perturbation in the control of ink key motors of offset printing machines. The principle of ink key control was analyzed. A mathematical model of brushless DC motors (BLDC) was established. A nonlinear gain super-helical sliding mode controller was designed, and the PSO algorithm was adopted to optimize the improved nonlinear gain super-helical sliding mode parameters offline globally. The stability of the optimized system was proved according to the Lyapunov stability theory. The simulation system of ink key motor control with a brushless DC motor as the actuator was built. The results of simulation experiments showed that the stability of the optimized system was improved and the response time was shortened by 12.5%-81.68% compared with other control algorithms under the change of external conditions. The method combined intelligent optimization of control parameters with improved sliding mode technology, which gave the system better accuracy and stability. Taking the offset printing machine as the starting point, the particle swarm optimization method and the improved super-helical sliding mode control are combined together and introduced into the ink-key motor control system of the offset printing machine, and after the research and simulation experiments, the performance of the ink-key motor control of the offset printing machine is improved, which provides a new attempt for the intelligent control of the printing equipment.
关键词
墨键控制 /
胶印机 /
粒子群优化 /
超螺旋滑模控制 /
无刷直流电机
Key words
ink key control /
offset printing machine /
PSO /
STSMC /
BLDC
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基金
数字化印刷装备北京市重点实验室建设项目（KYCPT202508）; 国家级大学生创新创业计划项目（202410015011,202410015009）; 北京市教委一般项目（KM202410015004）
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