The Research and Simulation of PID Algorithm Optimization for Concrete Mixing

Abstract

In order to fix the defects of the inaccurate control parameters in concrete intelligent mixing, this paper proposes a concrete mixing parameter control method based on fuzzy neural network PID control algorithm. The control method mainly includes two parts-control parameter calculation and mixing data feedback. According to the control parameter calculation, the proposed method is capable of calculating the control parameters required to control the concrete mixing. The industrial concrete mixing condition can be feedback to the control end via data feedback method. The control parameters can be adjusted according to the feedback data to accurately control the concrete mixing. The experimental results illustrate the proposed algorithm can effectively increase the control accuracy with satisfactory performance.