【作者】 韩瑞珍；

【导师】 陈国定；

【作者基本信息】 浙江工业大学 ， 控制理论与控制工程， 2002， 硕士

【摘要】 本文主要研究的是PID控制器参数模糊自整定方法。首先对PID控制器与参数整定方法、模糊控制的基本原理、发展历史、研究现状和发展趋势进行了综述。然后，针对上述两种方法中存在的不足，将两种方法综合起来，取长补短，提出一种比较完善的模糊PID控制器参数自整定算法。 应用模糊集合理论和方法，把操作人员的PID参数整定经验总结成模糊规则模型，形成微机查询表格。微机根据控制系统的实际响应情况，运用模糊推理与决策实现对参数的在线调整。这种算法无需辨识系统的精确数学模型，只需在线检测出系统的期望输出和实际输出的偏差，通过判断其趋势从而决策出调整因子的大小，然后代入模糊自调整公式，即可整定出所有参数。其简单性和可实现性是显而易见的。 在Z-N法整定出PID参数的基础上，将本文提出的自调整公式应用于时滞二阶对象的控制。仿真结果表明，本文提出的算法优于传统的整定方法和相关文献的整定方法。 提出一种基于给定幅值裕度和相角裕度的PID参数模糊自调整算法，根据不同的幅值裕度和相角裕度，针对高阶对象进行了仿真。结果表明，该算法有较快的稳定速度。更多还原

【Abstract】 In this dissertation, based on fuzzy inferences, a self-tuning PID is developed. The principle of PID control and Fuzzy control is described. Both their developing history and trend are discussed. A self-tuning PID controller based on fuzzy inferences is designed by joining the advantages of first one to a second one.A model of fuzzy rules is built based on the operator’s experiences, then it is changed into an inquiry form. According to system’s real responding situation, fuzzy reasoning and decision are used to regulate PID controller’s parameters online. Neither identification nor exactly mathematical model of controlled object is needed, it only needs to measure the controlled system’s desired output and real output and compute the difference of them, then get the result of self-tuning factor by fuzzy inference and decision. After attaining the self-tuning factor, we can tune all PID controller parameters by the self-tuning formulas. It is obvious that this method is simple and feasible.Designing a controller for a two-order plus time delay system , Simulation results show that the algorithm has better performance than other methods.An algorithm of self-tuning PID parameters based on specified phase and gain margins is proposed. Simulation results of high order process show that the algorithm has high tracking speed.更多还原