基于预测PI的抗大干扰控制算法研究-信息与通信工程专业论文.docxVIP

基于预测 P 基于预测 PI 的抗大干扰控制算法研究 万方数据 万方数据 THE CONTROL METHODS STUDY OF LARGE DISTURBANCE ABSTRACT Nowadays many advance control strategies have come out one after another, such as:Smith predictor control, internal model control algorithm, feed-forward compensation, predictive PI control programs Bang-Bang control programs. However, actual industrial production process system, such as temperature control redrying process barn, using conventional control strategies is difficult to achieve a good control effect. Therefore, on the basis of existing policies on further interference for real industrial situation,then carry out a predictive PI-based control strategy for large conventional disturbance, and control strategy for periodic disturbance systems. Based on the predicted PI large disturbance control algorithm use the PI controller as the primary loop controller in time delay inertial industrial process control object, and add the comparator as a switching controller. The main idea of this algorithm is as follows: When the controlled variable within the desired control range, predictive PI control algorithm can be effectively controlled, when the controlled variable exceeds the expected range, the comparator switches to the controller output increase or reduced to a tolerable limit, so the controlled object can rapidly approaching to set point. Simulation results show that: the use of the algorithm can effectively improve the adjusted rate, reduce volatility and other issues. Even in the case of large disturbance model mismatch, the control of the accuracy of the output remains within reasonable limits. Effective solution to the big lag characteristic of the controlled object with large inertial output at high disturbance fluctuations, slow response, adjusting a long time difficult. When disturbance is a periodic big disturbance, the algorithm can effectively reduce the influence of large disturbance. When disturbance is a periodic signal, the control strategy is still a