An Applied Study On The Predictive PID Controller Of Complex Thermal Process

The phenomenon of dead-time exists in typical complex thermal processes. Based on control loops of PID linear control algorithm, traditional process control scheme is widely used, however, the large time delay phenomenon of complex thermal process could not have a good improvement, the plant cannot run at optimum state, causing the process parameters to run a larger deviation from technical indexes. Therefore, it has very important theoretical significance and practical value to study controling methods which are suitable for the complex thermal processes, and to effectively achieve automatic control and optimal operation. This paper reviews the common method of dead-time control, and the status of predicting PID control algorithm. Furthermore, this paper carried on a design of Predictive PI Controller which is directed to Self-Regulating Process and Non-Self-Regulating Process, and FPPI Controller design methods are proposed to improve the robustness of PPI Controllers. Moreover, this paper carried a Predictive PI Controller designing by using Linear Phase Advance Filter as predictor.Firstly, the Predictive PI controller design for Self-regulating system is introduced. This chapter mainly introduces the design of Predictive PI Controller for classical process control modelmethods, it uses Smith Predictor Principle to complete the PPI controller design, and also cites specific examples of simulation research and results analysis.Secondly, the Roubustness of Predictive PI controller is discussed. This chapter mainly analyses the roubustness of Predictive PI controller and the reasons that caused errors. With these errors the design for FPPI controller is proposed to improve the robustness, and the design is illustrated and verified.Thirdly, the controller design of Non-self-Regulating Process PPI feedback on the basis of the self-tuning drum water level is introduced. This chapter mainly introduces a self-tuning method for non-self-regulating system with integral elements. That method increases the internal feedback for the integral elements, and makes a self-regulating system which is a stable open-loop.Finally, the Predictive PI Controller designing with Linear Phase Advance Filter as predictor is introduced. This chapter describes Predictive PI controller design by using the Linear Phase Advance Filter to replace the Forecast item, and the practical application of this filter simulation and analysis.