Control and Optimization of a Simulated Hydrogen Production Operation

2009 ◽  
Author(s):  
Ramiro J. Chamorro ◽  
Marco E. Sanjuan
Keyword(s):  
Hydrogen Production ◽  
Nonlinear Behavior ◽  
Production Plant ◽  
Production Operation ◽  
Centralized Control ◽  
Industrial Control ◽  
Dynamic Simulations ◽  
Modeling And Control ◽  
Plant Data ◽  
And Control

This research presents an approach for modeling and control of a hydrogen production plant based in steam reforming of methane (SRM). Many studies in the literature have established some important hydrogen production plant information related to sizing and optimization. This research shows a dynamic model integrated with an industrial control system, which will be able to represent the unified plant data for process variables (temperature, pressure, size, etc.). The plant was optimized using surface response methodology (SRM) to approach a maximum value of hydrogen and a minimum carbon monoxide concentration. The dynamic plant model exhibited high interactions and nonlinear behavior. Hence, a Model predictive control (MPC) strategy was design for the dynamic case, with very good results due to its centralized control structure. Steady-state and dynamic simulations were developed using HYSYS 2006.

Compensation of the Nonlinear Effect on Anelectro Hydrostatic Cylinder Driver for the Transit and Rotating Motion Using Bilinear System

2014 ◽  
Vol 875-877 ◽  
pp. 2097-2106
Author(s):  
Rai Wung Park
Keyword(s):  
High Performance ◽  
Nonlinear Behavior ◽  
Bilinear System ◽  
Mathematic Model ◽  
Modeling And Control ◽  
Extended Application ◽  
Physical Information ◽  
Complete Form ◽  
And Control ◽  
Operating Points

The transit motion and the rotating motion have highly different effects in a technical systems and have almost nonlinear system behaviors. For the descriptions of their dynamical causes and effects on system, the physical information, which is concerned as a nonlinear mathematic model, has been used. But the corresponding equations are generally not easy to solve in complete form or their solutions are so complicated to see through the coherence. A common way to settle such a problem is to linearize system exactly in a state space or on a operating points with Taylor's series approximately. An advanced method to an approximation is a bilinear system that offers global separations principle. In this paper, an extended application of this theory is given in a modeling and control on the electro hydrostatic cylinder driver with both the transit and rotating motions for the keel system that mostly have not only advantage of high performance, small volume of building and weight but also high nonlinear behavior.

Polymer Film Production: Modeling and Control of the Forward Draw

2009 ◽  
Vol 132 (1) ◽  
Author(s):  
C. R. MacLaine ◽  
P. Acarnley ◽  
J. Shanahan ◽  
P. Mousalli ◽  
M. Deighton
Keyword(s):  
Polymer Film ◽  
Industrial Processes ◽  
Production Plant ◽  
Film Production ◽  
Modeling And Control ◽  
Feed Forward Control ◽  
Control Scheme ◽  
Production Modeling ◽  
And Control ◽  
Physical Phenomena

Many industrial processes involve the transportation of a continuous web of material over a series of rollers to obtain a finished product. The manufacture of polymer film is one such web transport process, which utilizes a series of rotating elements that act to manipulate the film. This paper develops a dynamic mathematical model of the “forward draw” in a polymer film production process. The model is capable of being implemented in real-time for control purposes, yet includes significant physical phenomena such as material damping. Experimental results from a pilot production plant are used to validate the model under steady-state and transient conditions. The model is then used as a basis for a feed-forward control scheme, which reduces speed variations in the forward draw by a factor of 8 and therefore improves considerably the film quality.

Dynamic Modeling and Control Issues on a Methanol Reforming Unit for Hydrogen Production and Use in a PEM Fuel Cell

2009 ◽  
Vol 42 (11) ◽  
pp. 822-827 ◽  
Author(s):  
Dimitris Ipsakis ◽  
Spyros Voutetakis ◽  
Panos Seferlis ◽  
Simira Papadopoulou
Keyword(s):  
Fuel Cell ◽  
Hydrogen Production ◽  
Dynamic Modeling ◽  
Pem Fuel Cell ◽  
Methanol Reforming ◽  
Modeling And Control ◽  
And Control

scholarly journals Modeling and control of DC microgrid system based on hydrogen production load

2019 ◽  
Vol 1187 (2) ◽  
pp. 022013
Author(s):  
Yingjun Guo ◽  
Zhe Shi ◽  
Yajie Guo ◽  
Fanyi Deng ◽  
Hexu Sun
Keyword(s):  
Hydrogen Production ◽  
Dc Microgrid ◽  
Modeling And Control ◽  
And Control

A Study of Fuzzy Hysteresis Modeling and Control of a Shape Memory Wire Actuator

2007 ◽  
Author(s):  
Ali Reza Mehrabian ◽  
S. Vahid Hashemi ◽  
Eric Williams ◽  
Mohammad Elahinia
Keyword(s):  
Shape Memory ◽  
Fuzzy Systems ◽  
Clustering Algorithm ◽  
Nonlinear Behavior ◽  
Fuzzy Modeling ◽  
Inverse Model ◽  
Training Data ◽  
Modeling And Control ◽  
Sma Actuators ◽  
And Control

This paper describes the development of fuzzy systems for modeling the hysteresis behavior of shape memory alloy (SMA) actuators. Due to their simplicity and ease of actuation, SMA actuators are very attractive for applications such as miniature robots for micro manufacturing. However, SMAs have not been widely used for motion control applications due to their nonlinear behavior and control difficulties. One approach to design a position controller for SMA systems is to employ an inverse-model of the system in the control loop to compensate the hysteresis properties of the material. Fuzzy systems, due to their nonlinear learning and adaptation abilities, are good candidates for obtaining inverse-models. In this paper two fuzzy modeling approaches are employed and compared to develop a model for a SMA wire actuator. A set of experiments are conducted to generate the training data. The test stand includes a Nickel-Titanium (TiNi) SMA wire, a position sensor, a bias spring and a current amplifier. By comparing the performance of the two employed fuzzy modeling techniques, it is revealed that the approach based on fuzzy Gustafson-Kessel (GK) clustering shows a better performance in the modeling of the hysteresis in the SMA wire. Thus, GK clustering algorithm is employed to develop the inverse-model for the SMA. The reported results demonstrate the ability of the employed fuzzy algorithm for modeling the hysteresis in the system, and the merits of the introduced inverse-model in the control of the position of the SMA.

NONLINEAR/CHAOTIC MODELING AND CONTROL OF COMBUSTION INSTABILITIES

2010 ◽  
Vol 20 (04) ◽  
pp. 1245-1254 ◽  
Author(s):  
S. LEI ◽  
A. TURAN
Keyword(s):  
Control Method ◽  
Chaotic Behavior ◽  
Combustion Process ◽  
Nonlinear Behavior ◽  
Combustion Instabilities ◽  
Minimum Entropy ◽  
Modeling And Control ◽  
Discrete Dynamic Model ◽  
The Stability ◽  
And Control

A discrete dynamic model accounting for both combustion and vaporization processes is proposed. In terms of different bifurcation parameters relevant to either combustion or evaporation, various bifurcation diagrams are presented. Furthermore, the corresponding Lyapunov exponent is calculated and employed to analyze the stability of the particular dynamic system. The study indicates conclusively that the evaporation process has a significant impact on the intensity and nonlinear behavior of the system of interest, vis-à-vis a model accounting for only the gaseous combustion process. Moreover, a minimum entropy control method is employed to control the chaotic behavior inherent to the system of interest. This algorithm is intended to be implemented for control of combustion instability numerically and experimentally to provide a basis for some of the control methodologies employed in the literature.

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