一种高速灌装自适应控制方法

针对灌装精度要求高的小剂量高速药液灌装机,现在仍广泛使用手动灌装控制方法、难以解决因灌药系统特性时变所带来的灌装误差较大的问题,设计了一种基于高速灌装模型的智能灌装控制器,以提高高速灌装系统的灌药精度。以此为基础,为了解决因系统非线性所带来的灌装特性变化问题,提出了一种通过最小二乘法在线构建灌装系统局部线性化模型,对灌药系统灵敏度进行在线分析的方法,并设计了能够克服时变及非线性影响的自适应智能灌装控制算法。分别对手动控制、智能控制和自适应智能控制方法进行了实时灌装控制实验,结果表明自适应智能控制效果最好,智能控制器和自适应智能控制器均能够较好地解决系统特性时变带来的影响,并且自适应智能控制器具有克服灌装特性非线性影响的能力。

An adaptive control approach to high-speed filling process

Nowadays, the small dose, high speed liquid medicine filling system with high filling accuracy still widely uses manual filling control approach, which is difficult to solve the problem of large filling error due to dynamic behavior time varying of the high speed filling system (HSFS). In order to improve the filling control accuracy of the HSFS, in this paper an intelligent filling controller (IC) is designed based on the model of the HSFS. On the basis of the IC, in order to solve the problem of filling behavior variation caused by the system nonlinearity, this paper proposes a method that can build the locally linear model of the HSFS online with least squares method (LSM) and analyze the sensitivity of the filling system online. An adaptive intelligent filling control algorithm is designed, which can overcome the influence of dynamics time varying and nonlinearity of the HSFS. Real time filling control experiments were carried out using manual control, intelligent control and adaptive intelligent control methods, respectively. The results show that the performance of the adaptive intelligent control method is the best compared with the other two control methods, both the intelligent controller and adaptive intelligent controller can overcome the influence of the behavior time varying of the HSFS very well, and the adaptive intelligent controller also has the ability to overcome the influence of nonlinearity of the HSFS.