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结合某炼油厂动力站除氧系统改造工程项目 ,以除氧系统的计算机控制为例 ,介绍了模糊控制器的设计与实现。除氧系统具有多输入多输出、大滞后、时变性、非线性等一系列特点 ,除氧器的水位和压力相互影响 ,是一强耦合系统 ,其精确数学模型难以建立。为了达到除氧目的 ,必须保证水位和压力的恒定 ,而常规的基于 PID算法的控制器很难保证运行指标。为此 ,提出了一种基于模糊控制理论的多维模糊控制器的设计方法 ,并设计了除氧器压力和水位模糊控制器。为了消除多台除氧器并联工作时相互间的影响 ,控制各除氧器平稳运行 ,结合人工控制经验设计了智能控制器 ,其控制效果达到了预期要求。文中提出的模糊控制器 ,其设计过程简单 ,易于工程实现 ,适用于同类多输入多输出模糊控制器的设计
Combined with the deoxygenation system reconstruction project of a refinery power station, taking the computer control of oxygen removal system as an example, the design and implementation of fuzzy controller are introduced. The deoxygenation system has a series of characteristics of multi-input and multi-output, large hysteresis, time-varying, nonlinear and so on. The water level and pressure of the deaerator affect each other and are a strongly coupled system. The accurate mathematical model is difficult to establish. In order to achieve the purpose of deoxidation, the water level and pressure must be kept constant, while the conventional controller based on PID algorithm can hardly guarantee the operation index. Therefore, a design method of multidimensional fuzzy controller based on fuzzy control theory is proposed, and the deaerator pressure and water level fuzzy controller are designed. In order to eliminate the influence of multiple deaerators working in parallel, and to control the smooth operation of each deaerator, the intelligent controller is designed according to the experience of manual control, and the control effect meets the expected requirements. The fuzzy controller proposed in this paper has a simple design process and is easy to implement. It is suitable for the design of similar fuzzy controller with multiple inputs and multiple outputs