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自适应神经PID在软胶囊生产过程温控系统中的应用
Application of Self-adaption Neural PID to Temperature Control System in Production Process of Soft Capsules
【摘要】 以软胶囊生产过程温度控制系统为研究对象,提出了一种基于BP神经网络整定的PID控制方法,并给出了系统设计及软件开发.由于神经网格所具有的任意非线性表达能力,可以通过对系统性能的学习来实现具有最佳组合的PID控制.实验结果表明,用该方法整定的PID控制系统,逼近精度高,鲁棒性好.
【Abstract】 Taking the temperature controlling system in production process of soft capsules as the object of study,the PID controlling method based on BP neural network is put forward,and the system design and software development is also presented.With the arbitrary nonlinear expressiveness,the neural network can help to realize the PID control with the best combinations by understanding the system performance.The network has high precision and good robustness.The results show that the method is feasible and effective.
【关键词】 软胶囊生产过程;
温度控制;
BP神经网络;
PID控制;
【Key words】 production process of soft capsules; temperature control; BP neural network; PID control;
【Key words】 production process of soft capsules; temperature control; BP neural network; PID control;
- 【文献出处】 湖南工程学院学报(自然科学版) ,Journal of Hunan Institute of Engineering(Natural Science Epition) , 编辑部邮箱 ,2005年04期
- 【分类号】TM571.6
- 【下载频次】86