节点文献
基于DSP的轧机调速系统模糊神经控制
Fuzzy Neural Control Based on DSP Chip for Roller Speed Regulation Systems
【摘要】 研究了基于DSP芯片TMS320LC2406A的轧机调速模糊神经控制系统的设计,以替代传统PID模拟控制系统,其主要内容涉及模糊神经控制器的设计和硬件电路的构成,并对该系统进行了计算机仿真实验.从仿真结果可知:该调速系统具有良好的控制性能,并能达到很高的控制精度.
【Abstract】 This paper presents the design of roller speed regulation system controlled by Fuzzy neural controller based on DSP chip in order to replace the traditional analog PID control This article mainly introduces the design of fuzzy neural controller and the hardware circuit This system is simulated, and the simulation results prove that this speed regulation system not only has better control performance, but also can gain higher control precision
【关键词】 模糊神经控制;
轧机调速系统;
DSP芯片;
仿真;
【Key words】 fuzzy neural controller; roller speed regulation; DSP chip; simulation;
【Key words】 fuzzy neural controller; roller speed regulation; DSP chip; simulation;
【基金】 河南省自然科学基金资助项目(0311011300)
- 【文献出处】 郑州大学学报(工学版) ,Journal of Zhengzhou University(Engineering Science) , 编辑部邮箱 ,2003年03期
- 【分类号】TG333.11
- 【被引频次】5
- 【下载频次】55