【作者】 张鹏；

【导师】 方康玲；

【作者基本信息】 武汉科技大学 ， 控制理论与控制工程， 2009， 硕士

【摘要】 常规模糊PID自整定控制器的设计中,量化因子和比例因子是固定不变的,当控制系统逐渐向零误差逼近时,最初给定的输入论域就使得模糊划分显得粗糙,难以取得较高的控制精度。针对这一问题,本文提出一种基于伸缩因子的模糊PID自整定控制方法,该方法一方面引入变论域的思想,使模糊控制器的输入和输出的基本论域随着控制需求按一定准则在适当的时刻进行伸缩变化,具有自适应的能力,由此提高模糊PID控制器的性能;另一方面运用遗传算法优化伸缩因子的参数,从而达到优化模糊控制器的目的。将本文所设计的控制器与PID控制器和常规模糊PID控制器进行比较,仿真结果表明该控制器使控制系统具有良好的快速性、适应性和鲁棒性。为完成本文所设计控制器的验证工作,构建以A3000过程控制系统,SIMATIC S7-200及PC/PPI电缆组成的网络控制系统作为实验平台,用MATLAB语言及组态软件-KingView开发控制界面,并将所设计的基于伸缩因子的模糊PID自整定控制器应用在液位控制系统中,实时控制达到了较为理想的控制效果。实验结果证明了该变论域模糊PID自整定控制器的正确性以及可行性。更多还原

【Abstract】 In the conventional self-tuning fuzzy PID controller design, the quantizing factor and scale factor is fixed, when the control system approaches gradually to the zero error, the initial input of a given fuzzy partition domain makes it rough, it is difficult to obtain higher control accuracy. To solve this problem, the PID parameters self-tuning control approach based on the flex factor is presented in this paper. On the one hand, the method introduced the idea of variable domain, so that the basic domain of the fuzzy controller’s input and output stretches changes with the control criteria at a certain time, with adaptive capacity, which improves performance of the fuzzy PID control. On the other hand, the genetic algorithm was used to optimize the parameters of flex factor, so as to achieve the purpose of optimizing the fuzzy controller. And then comparing with PID control and the conventional fuzzy PID control method, simulation results show that the control system using this method is more speed, adaptive and robust.A Network control system consisting of the A3000 process-control system, SIMATIC S7-200 and PC/PPI Programming cable is introduced as an experimental platform, and then the control algorithm and human-computer interface (HMI) are developed using MATLAB language and the KingView configuration software respectively. Then the PID parameters self-tuning control approach based on flex factor is applied to the real-time control for a liquid-level system, and it achieved better control effect. The experiment results prove the validity and feasible of the variable domain fuzzy self-tuning PID controller.更多还原