| In the complex process of industrial production, there is a class of objects with the characteristic that the model generally contains some integral parts. Such objects are more difficult to control under the action of the step response because the output can not automatically reach a steady state, but increase or decrease constantly, which will have a huge impact on the security, stability, economy and other aspects of the production. Therefore, many experts have proposed a variety of control algorithms to solve the problem in recent years and achieved outstanding research results. In this paper, the predictive control algorithm for integral objects and the two degree of freedom PID control algorithm based on the internal model principle were studied and the two degree of freedom PID control algorithm was applied to the air ball system with integral characteristics. The main contents are as follows:(1)The modeling of the air ball system was introduced. In order to control the system more reasonably and effectively, the internal mechanism of the air ball system was studied. On the basis of creating the model with the use of mechanism modeling method and the test method respectively and the analysis of them, it was concluded that the model could be represented as an integrator plus time delay transfer function.(2)In order to realize the control of integral process effectively, the predictive control algorithm for integral objects and the two degree of freedom PID control algorithm based on the internal model principle were studied deeply. The predictive control algorithm for integral objects was edited and simulated on the visual basic platform and the same work was done for the two degree of freedom PID control algorithm based on the internal model principle on matlab/simulink. The simulation research showed the two kinds of controllers had good performance and robust stability under model-process mismatching and disturbances.(3) With the proficient use of Automation Studio,a two degree of freedom PID control algorithm was designed for the air ball system on MATLAB/SIMULINK. After conversion, compile and download, this algorithm was applied to the control of the air ball system The experiment results showed the algorithm had satisfactory control effect and a certain practical value. |