摘要
文中将PID控制器在工程整定方法的基础上,对PID参数作归一化处理,然后通过模糊控制规则和模糊推理确定对PID的参数进行调节,提出了一种新型的模糊PID算法。从而使PID控制器具有适应非线性、时变、不确定性等复杂难控对象的能力。最后利用某火力发电厂过热气温为对象对该算法进行了仿真研究,结果表明该算法使用可靠、精度高,而且具有较强的抗干扰能力和鲁棒性。
In this paper, PID parameters are first normalized on the basis of engineering modification, and then are adjusted by fuzzy control principle and fuzzy inference. Thus a new fuzzy PID controller is proposed. The PID controller has the ability of adapting to such complexity and hard control objects, as non-lined Time-variant uncertainty and so on. In the end this algorithm is applied in the simulation research of using over-hot air temperature in a power plant as the subject. The result shows the algorithm is of reliability, high precision and strong ability of anti-interfere and robustness.
出处
《系统仿真学报》
CAS
CSCD
2003年第10期1492-1493,1496,共3页
Journal of System Simulation
基金
山西省青年科技研究基金项目(20011017)