【摘要】 针对目前金属切削加工过程中存在的切削液浓度无法实时、精准控制调节问题，本文将传统PID控制理论和模糊推理相结合，设计了一种基于自适应模糊PID的切削液浓度控制系统。本文首先提出了一种用于切削液浓度控制的系统总体结构框架。在所提系统框架的基础上，对于传统PID控制理论以及模糊推理进行了探究结合，获得了一种适用于切削液浓度控制的自适应模糊PID控制器以及控制算法。为验证所得方案的可行性以及优越性，利用Simulink构建系统模型，对模糊PID浓度控制算法的控制效果进行了仿真，并在切削液浓度控制系统实验平台上进行了关于浓度控制的对照实验。最终，仿真与实验结果表明，本文所设计的自适应模糊PID相对于传统的浓度控制方法响应更快，系统稳态误差更小，提升了切削液性能维护系统的浓度控制性能。更多还原

【Abstract】 To address the difficulty in real-time and precise controlof the cutting fluid concentration during metal cutting processes, this paper combines traditional PID control theory with fuzzy reasoning to design a cutting fluid concentration control system based on adaptive fuzzy PID. First, an overall system structure framework for cutting fluid concentration control is proposed. On the basis of the proposed system framework, traditional PID control theory and fuzzy reasoning are explored and integrated to obtain an adaptive fuzzy PID controller and control algorithm suitable for cutting fluid concentration control. To validate the feasibility and superiority of the scheme, a system model is constructed through Simulink to simulate the control performance of the fuzzy PID concentration control algorithm, and the comparative experiment on concentration control is conducted on a cutting fluid concentration control system experimental platform. Finally, the simulation and experimental results indicate that the adaptive fuzzy PID controller designed in this paper responds faster and has smaller steady-state errors compared with traditional concentration control methods, thereby enhancing the concentration control performance of the cutting fluid performance maintenance system.更多还原