Research on prediction and control method of car exterior noise

2012 ◽  
Vol 59 (1) ◽  
pp. 44 ◽  
Author(s):  
Shuming Chen ◽  
Dengfeng Wang ◽  
Xing Qu ◽  
Chuanbing Li ◽  
Bo Liu
Keyword(s):  
Control Method ◽  
Prediction And Control ◽  
And Control

scholarly journals Application of Numerical Modelling and Genetic Programming in Hydrocarbon Seepage Prediction and Control for Crude Oil Storage Unlined Rock Caverns

Geofluids ◽  
2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Ebrahim Ghotbi Ravandi ◽  
Reza Rahmannejad ◽  
Saeed Karimi-Nasab ◽  
Amir Sarrafi
Keyword(s):  
Genetic Programming ◽  
Numerical Modelling ◽  
Crude Oil ◽  
Control Method ◽  
Effective Parameters ◽  
Two Phase ◽  
Seepage Control ◽  
Oil Storage ◽  
Prediction And Control ◽  
And Control

Seepage control is a prerequisite for hydrocarbon storage in unlined rock caverns (URCs) where the seepage of stored products to the surrounding host rock and groundwater can cause serious environmental and financial problems. Practically seepage control is performed by permeability and hydrodynamic control methods. This paper employs numerical modelling and genetic programming (GP) for the purpose of seepage prediction and control method determination for the crude oil storage URCs based on the effective parameters including hydrogeologic characteristic of the rock and physicochemical properties of the hydrocarbons. Several levels for each parameter were considered and all the possible scenarios were modelled numerically for the two-phase mixture model formulation. The corresponding seepage values were evaluated to be used as genetic programming data base to generate representative equations for the hydrocarbon seepage value. The coefficients of determination (R2) and relative percent errors of the proposed equations show their ability in the seepage prediction and permeability or hydrodynamic control method determination and design. The results can be used for crude oil storage URCs worldwide.

scholarly journals Modeling, Prediction, and Control of Heating Temperature for Tube Billet

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Yachun Mao ◽  
Dong Xiao ◽  
Dapeng Niu
Keyword(s):  
Control Method ◽  
Heating Temperature ◽  
Nonlinear Models ◽  
Time Lag ◽  
Industrial Applications ◽  
Billet Temperature ◽  
Tube Billet ◽  
Prediction And Control ◽  
Coupling Characteristics ◽  
And Control

Annular furnaces have multivariate, nonlinear, large time lag, and cross coupling characteristics. The prediction and control of the exit temperature of a tube billet are important but difficult. We establish a prediction model for the final temperature of a tube billet through OS-ELM-DRPLS method. We address the complex production characteristics, integrate the advantages of PLS and ELM algorithms in establishing linear and nonlinear models, and consider model update and data lag. Based on the proposed model, we design a prediction control algorithm for tube billet temperature. The algorithm is validated using the practical production data of Baosteel Co., Ltd. Results show that the model achieves the precision required in industrial applications. The temperature of the tube billet can be controlled within the required temperature range through compensation control method.

Multi-Agent Behavioral Control System for the Ore Grinding Process

2014 ◽  
Vol 971-973 ◽  
pp. 1255-1260
Author(s):  
Li Li Wu ◽  
Yan Ling Zheng ◽  
Tie Jun Chen
Keyword(s):  
Control Method ◽  
Behavioral Control ◽  
Material Balance ◽  
Stability Control ◽  
Behavioral Approach ◽  
Control Algorithms ◽  
Grinding Processes ◽  
Prediction And Control ◽  
Multi Agent ◽  
And Control

In this paper, a small multi-agent system (MAS) is proposed based on behavioral approach for the complex grinding processes. Causal association agents were established according to the material balance of grinding processes, and prediction agents and stability control agents were built by adding prediction and control algorithms. The simulation results prove that the system has good stability and anti-interference performance. Multi-agent behavioral control method can be considered as a potential solution to stabilize grinding processes.

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