二维云模型在线优化的智能PID控制器设计

Design of intelligent PID controller for on-line optimization of two-dimensional cloud model

二维云模型是一种能够在定性概念和定量概念之间映射的模型,适用于非线性和不确定性的应用场景,具有较高的灵活性和效率。在船舶的各种控制系统、电子机械设备中,PID控制器是最常用的控制器类型之一,并且通常需要对发电机、动态定位系统等非线性的系统进行有效控制,因此,传统的线性控制模型难以实现较好的效果。为了解决这一问题,本文提出一种基于二维云模型的智能PID控制器,采用在线优化的方法,能够灵活地适应多种系统状态之间的动态变化,提高PID控制器的灵活性和适应性。本文给出二维云模型的设计方法,及PID控制的在线优化方法,并利用实验验证本文提出方法的正确性。

The two-dimensional cloud model is a model that can be mapped between qualitative concepts and quantitative concepts. It is suitable for non-linear and uncertain application scenarios,and has high flexibility and efficiency. PID controller is one of the most commonly used controller types in marine control systems and electromechanical devices,and it usually needs to control nonlinear systems such as generators and dynamic positioning systems. Therefore,the traditional linear Control model is difficult to achieve better results. In order to solve this problem,an intelligent PID controller based on two-dimensional cloud model is proposed in this paper. It can flexibly adapt to the dynamic change between multiple system states by online optimization method,which greatly improves the flexibility of PID controller Sexual and adaptability. In this paper,the design method of two-dimensional cloud model and on-line optimization method of PID control are given,and the correctness of the proposed method is verified by experiments.