| The most important part of the production process of polycarboxylate superplasticizer is the timing and constant speed dripping.The dripping process is often controlled by PID algorithm. PID algorithm has the advantages of simple structure and good control effect. The parameter tuning is the most important operation of PID control algorithm, and the current algorithms are adopting the manual mode to set the parameters of PID algorithm. The manual tuning method has certain experience request for the field engineer. If there is no tuning experience is very difficult to do the parameter setting of PID algorithm according to the response characteristics of the controlled system.Firstly, this study analyzes the effect of the parameters of PID algorithm in control process, and the influence of the size of the parameters on the stability and the rapidity of the control, contrast to the traditional method of manual parameters, such as theoretical analysis, empirical test and adjusting method, Z-N tuning method, the attenuation curve and the critical ratio method, after analyze the advantages and disadvantages of various methods and the application scene, achieving the self-turning of PID algorithm based on the polycarboxylate superplasticizer dripping flow control.Designing of an adaptive PID algorithm parameter tuning. The whole algorithm comparison stage and the designing stage using MATLAB algorithm are applied to the simulation of the adaptive tuning process, verify the correctness of the design and control performance of the setting parameters, then designing the tuning hardware circuit. The adaptive tuning of ARM based on Cortex-M3 platform, with STM32 processor and peripheral interface circuit to realize the acquisition and control of the parameters and gives the PID algorithm automatically. Focuses on the industrial field noise intensity in the hardware design phase, to increase the isolator of each sub module.This article will eventually connect the adaptive tuning device to the computer for physical simulation, achieving the turning test of PID algorithm of adaptive control system, the result of the design is compared with the result of artificial setting, compare the regulation rapidity and stability of the two groups of parameters, verify the feasibility of adaptive PID tuning algorithm.The design of adaptive algorithms are integrated in the hardware setting,convenient to be used, it will greatly reduce the complexity of PID algorithm, remove the dependent on parameter tuning of the accurate system model or artificial experience. |
