ADVANCED PROCESS CONTROL TECHNIQUES IN AUTOMATED PRODUCTION

This article explores Advanced Process Control (APC) techniques in automated production systems, emphasizing their role in optimizing industrial processes. It discusses core methods such as Model Predictive Control (MPC), feedforward control, multivariable control, soft sensors, and real-time optimization. The article highlights implementation challenges, benefits, and emerging trends, including AI integration, digital twins, and edge computing, demonstrating how APC enhances efficiency, product quality, and sustainability in modern manufacturing.本文围绕自动化生产系统中的先进过程控制（Advanced Process Control）技术展开探讨，着重阐述其在优化工业生产流程中的核心作用。文中讨论了模型预测控制（Model Predictive Control）、前馈控制、多变量控制、软传感器以及实时优化等核心方法，并重点分析了其实施挑战、应用效益与新兴发展趋势，包括人工智能融合、数字孪生（digital twins）与边缘计算（edge computing）等方向，论证了先进过程控制如何提升现代制造业的生产效率、产品质量与可持续发展能力。