<p>Traditional electrochemical machining (ECM) systems rely on the functionality of sensors and control systems to facilitate automated control. Nevertheless, these systems still necessitate manual supervision and demonstrate restricted adaptability to variations in on-site conditions. This paper puts forth a design scheme for a digital electrochemical machining system founded upon the tenets of cyber-physical systems (CPS). The proposed system combines a system dynamics simulation model with a single-axis adaptive PID control system, thereby facilitating pre-processing simulation, adaptive control during machining, and post-processing data tracking. In comparison to conventional control technologies, this system evinces superior control over machining current stability, which in turn leads to enhanced machining quality and efficiency. The experimental results presented in this paper substantiate that the system meets the anticipated performance objectives.</p>

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Research on adaptive machine tool system for single-axis vertical electrochemical machining based on CPS

  • Yujie Zhang,
  • Yadong Fang,
  • Chuanyun Zhang

摘要

Traditional electrochemical machining (ECM) systems rely on the functionality of sensors and control systems to facilitate automated control. Nevertheless, these systems still necessitate manual supervision and demonstrate restricted adaptability to variations in on-site conditions. This paper puts forth a design scheme for a digital electrochemical machining system founded upon the tenets of cyber-physical systems (CPS). The proposed system combines a system dynamics simulation model with a single-axis adaptive PID control system, thereby facilitating pre-processing simulation, adaptive control during machining, and post-processing data tracking. In comparison to conventional control technologies, this system evinces superior control over machining current stability, which in turn leads to enhanced machining quality and efficiency. The experimental results presented in this paper substantiate that the system meets the anticipated performance objectives.