Zhugang Yuan

Control-oriented modeling and simulation for calciner outlet temperature based on regression analysis

This paper describes a mathematical model for the calciner outlet temperature via regression analysis, aim to the outlet temperature control of calciner. Based on the analysis of cement production, we find the tertiary air temperature, coal feeding and raw material feeding may affect the calciner outlet temperature. Firstly, we provide a Single-Input and Single-Output (SISO) mathematical model and find it can reflect the calciner outlet temperature, but the fitted value is inaccurate. Secondly, we provide the Multiple-Input and Single-Output (MISO) mathematical model to obtain a more accurate fitting curve. Finally, the simulation results demonstrate the model with three inputs can reflect the calciner outlet temperature precisely.

Sliding mode controller with a disturbance compensator for cement combined grinding system

In this paper, a sliding mode controller with a disturbance compensator for cement combined grinding system is proposed, aiming at the problem of cement combined grinding system control. First, production process of cement combined grinding system is analyzed and the model is established. Then asymptotic stability of the sliding surface, the convergence of the disturbance compensator and the stability of sliding mode controller are proved. On the basis of above, a sliding mode controller with a disturbance compensator is utilized to realize the control of cement combined grinding system. The simulation results demonstrate the validity and feasibility of the proposed method.

Adaptive PID Control for Cement Particle Size System Based on Data-Driven Technology

In order to solve the problem that the controlled system depends on the mathematical model in the cement particle size control, and further to improve the robustness and stability of the controled system, a data-driven online adaptive PID control method is proposed. Firstly, the cement mill process is briefly introduced, and a relevance is reached that the speed of the posterior separator is the key factor to influence the cement particle size. Secondly, the nonlinear cement mill system is linearized by using compact form dynamic linearization (CFDL) method. Then, the pseudo-partial derivative (PPD) of CFDL is estimated only by using the I/O data of the controlled system. Thirdly, the parameters of PID controller are dynamically updated according to PPD. Finally, the simulation results show the effectiveness of the proposed method.

Modeling for cement combined grinding system with closed grinding process based on LS-SVM in typical working condition

In order to overcome the difficulty in the modeling of combined grinding system, an identification algorithm based on the least squares support vector machine (LS-SVM) is applied to the modeling of the closed grinding process in typical working condition as a new tool. The model parameters are selected by analysis of its process mechanism. The sample data sets are obtained from the historical data of on-site production in typical working condition. As the LS-SVM algorithm is of the advantages of simple structure and high speed, according to the mechanisms of LS-SVM algorithms, a model describing the variation of out-mill elevator current was obtained by modeling simulation. Compared with the model based on artificial neural networks (ANN) method, the proposed model has better capability of generalization and better convergent speed if a small data set is available. The simulation results show that the LS-SVM is more valuable when applied to the modeling of the cement combined grinding process.

Application of ART-2 network in the recognition of kiln operating condition

In view of the complex hot-working process of cement rotary kiln , overall consider various factors which influence hot-working process of cement rotary kiln , all relative factors to process are measured and the running patterns of system are built with an improved ART-2 cluster parsing algorithm, carry on the correct recognition to the status of cement rotary kiln. According to the real-time kiln status selecting suitable control strategy , make the foundation for the rotary kiln realize intelligence control.