Wellbore Temperature Prediction and Control Through State Space Model

This paper is concerns with the study of modeling and control of biochemical reactor. Firstly, a mathematical model is established for a typical biochemical reactor, the mass balance equations are established individually for substrate concentration and biomass concentration. Then, the model is linearized at the steady-state point, two linear models are derived: state space model and transfer function model. The transfer function model is used in internal model control (IMC), where the filter parameter is selected and discussed. The state space model is applied in model predictive control (MPC), where controller parameters of control prediction horizon length and constraint of control variable variation are discussed.

Download Full-text

Method of Identifying Key Quality Characteristics in Multistage Manufacturing Process Based on PLSR

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.217-219.2580 ◽

2012 ◽

Vol 217-219 ◽

pp. 2580-2584 ◽

Cited By ~ 1

Author(s):

Ning Wang ◽

Ji Chao Xu ◽

Jian Feng Yang

Keyword(s):

State Space ◽

Manufacturing Process ◽

State Space Model ◽

Quality Characteristics ◽

The State ◽

Quality Analysis ◽

Least Squares Regression ◽

Space Model ◽

Multistage Manufacturing ◽

And Control

To improve the existing methods of identifying the key quality characteristics in multistage manufacturing process, the partial least squares regression (PLSR) method is combined with the state space model that a new method of identifying the key quality characteristics in multistage manufacturing process based on PLSR is proposed. According to the feature of multistage manufacturing process, the state space model is introduced to build the key quality characteristics identifying model for multistage manufacturing process, using the PLSR method to solve the problem of the quality characteristics such as multicollinearity, do model analyzing and identify the key quality characteristics. At last, the cigarette production process is presented as an example to introduce the application of this method. The result shows that this method can not only identify the key quality characteristics in multistage manufacturing process, but also establish the model of output quality effecting of all levels on the final product quality and its quality characteristics relationship, which reflect the structure of the multistage manufacturing process and causal relationship between quality characteristics at all process levels, provide the basis for quality analysis and control in multistage manufacturing process.

Download Full-text

State space model for river temperature prediction

Water Resources Research ◽

10.1029/93wr00099 ◽

1993 ◽

Vol 29 (5) ◽

pp. 1457-1466 ◽

Cited By ~ 15

Author(s):

Hector R. Bravo ◽

Witold F. Krajewski ◽

Forrest M. Holly

Keyword(s):

State Space ◽

State Space Model ◽

Temperature Prediction ◽

River Temperature ◽

Space Model

Download Full-text

A state space model for modeling and control of manufacturing processes

Proceedings 1995 INRIA/IEEE Symposium on Emerging Technologies and Factory Automation. ETFA'95 ◽

10.1109/etfa.1995.496696 ◽

2002 ◽

Author(s):

E.B. Kosmatopoulos ◽

M.A. Christodoulou

Keyword(s):

State Space ◽

State Space Model ◽

Manufacturing Processes ◽

Modeling And Control ◽

Space Model ◽

And Control

Download Full-text

Dissipative stability analysis and control of two-dimensional Fornasini–Marchesini local state-space model

International Journal of Systems Science ◽

10.1080/00207721.2017.1282059 ◽

2017 ◽

Vol 48 (8) ◽

pp. 1744-1751 ◽

Cited By ~ 6

Author(s):

Lanning Wang ◽

Weimin Chen ◽

Lizhen Li

Keyword(s):

Stability Analysis ◽

State Space ◽

State Space Model ◽

Local State ◽

Two Dimensional ◽

Space Model ◽

And Control

Download Full-text

A NONLINEAR UNIFIED STATE-SPACE MODEL FOR SHIP MANEUVERING AND CONTROL IN A SEAWAY

International Journal of Bifurcation and Chaos ◽

10.1142/s0218127405013691 ◽

2005 ◽

Vol 15 (09) ◽

pp. 2717-2746 ◽

Cited By ~ 72

Author(s):

THOR I. FOSSEN

Keyword(s):

State Space ◽

Transfer Functions ◽

State Space Model ◽

Low Frequency ◽

Ship Maneuvering ◽

Frequency Model ◽

Space Model ◽

Classic Theory ◽

Space Formulation ◽

And Control

This article presents a unified state-space model for ship maneuvering, station-keeping, and control in a seaway. The frequency-dependent potential and viscous damping terms, which in classic theory results in a convolution integral not suited for real-time simulation, is compactly represented by using a state-space formulation. The separation of the vessel model into a low-frequency model (represented by zero-frequency added mass and damping) and a wave-frequency model (represented by motion transfer functions or RAOs), which is commonly used for simulation, is hence made superfluous.

Download Full-text

Modeling and Control of Sludge Pyrolysis in a Fluidized Bed Reactor

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.846-847.69 ◽

2013 ◽

Vol 846-847 ◽

pp. 69-72

Author(s):

Shi Li ◽

Xi Ju Zong ◽

Yan Hu

Keyword(s):

Transfer Function ◽

State Space ◽

Fluidized Bed ◽

State Space Model ◽

Fluidized Bed Reactor ◽

Transfer Function Model ◽

Function Model ◽

Modeling And Control ◽

Space Model ◽

And Control

This paper is concerns with the study of modeling and control of sludge pyrolysis in a fluidized bed reactor. Firstly, a mathematical model is established for sludge pyrolysis in a fluidized bed furnace, mass balance and energy equations are established. Then, the model is linearized at the steady-state point, two linear models are derived: state space model and transfer function model. The transfer function model is used in internal model control (IMC), where the filter parameter is selected and discussed. The state space model is applied in model predictive control (MPC), where controller parameters of prediction horizon length and control horizon length are discussed.

Download Full-text