“比例-积分-微分闭环模型”跟踪控制
"Closed Proportional-Integral-Derivative-Loop Model" Following Control
摘要：
比例-积分-微分（PID）控制律作为人类决策中临界控制的计算机模拟，常常被忽视。本文提供了一个公式来解决这个问题。在此基础上，根据动力系统的稳态特性，提出了闭环PID模型跟踪控制（CPLMFC）方法，用于自动PID设计。此外，提供了一种用于闭环稳定时间识别的方法。CPLMFC算法和一些建议的准则，设置的关键权重的PID。最后，模拟了两个典型案例。理论结果和仿真结果（通过性能指标）表明，CPLMFC能够保证闭环自适应PID控制的实时性和稳定性
英文摘要：
The proportional-integral-derivative (PID) control law is often overlooked as a computational imitation of the critic control in human decision. This paper provides a formulation to remedy this problem. Further, based on the characteristic settling-behaviour of dynamical systems, the "closed PID-loop model" following control (CPLMFC) method is introduced for automatic PID design. Also, a method for closed-loop settling-time identification is provided. The CPLMFC algorithm and some recommended guidelines are given for setting the critic weights of the PID. Finally, two representative case-studies are simulated. Both the theoretical results and simulation results (via performance indices) illustrate that the CPLMFC can guarantee both accurate and stable closed-loop adaptive PID control performance in real-time
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
