Rodrigo M A, Seco A, Ferrer J, Penya-roja J M, Valverde J L
Departamento Ingeniería Química, Facultad de Ciencias Químicas, Universidad de Castilla-La Mancha, Ciudad Real, Spain.
ISA Trans. 1999;38(3):231-41. doi: 10.1016/s0019-0578(99)00018-x.
In this paper, several tuning algorithms, specifically ITAE, IMC and Cohen and Coon, were applied in order to tune an activated sludge aeration PID controller. Performance results of these controllers were compared by simulation with those obtained by using a nonlinear fuzzy PID controller. In order to design this controller, a trial and error procedure was used to determine, as a function of error at current time and at a previous time, sets of parameters (including controller gain, integral time and derivative time) which achieve satisfactory response of a PID controller actuating over the aeration process. Once these sets of data were obtained, neural networks were used to obtain fuzzy membership functions and fuzzy rules of the fuzzy PID controller.
本文应用了几种整定算法，具体为ITAE、内模控制（IMC）以及科恩-库恩（Cohen and Coon）算法，以对活性污泥曝气PID控制器进行整定。通过仿真，将这些控制器的性能结果与使用非线性模糊PID控制器所获得的结果进行了比较。为了设计该控制器，采用了试错法来确定作为当前时刻和上一时刻误差函数的参数集（包括控制器增益、积分时间和微分时间），这些参数集能使PID控制器在曝气过程中实现令人满意的响应。一旦获得这些数据集，就使用神经网络来获取模糊PID控制器的模糊隶属函数和模糊规则。
