PDF Publication Title:
Text from PDF Page: 059
Chapter 4 Explicit/Multi-Parametric MPC Control of PSA Systems 4.1 Preliminaries 4.1.1 Model Predictive Control Model predictive control is an advanced control methodology, wherein each con- troller move is evaluated by solving an optimization problem, while taking into account operational constraints and system dynamic behavior through a predic- tive model [123, 124, 91, 125]. The optimal controller action provided by MPC is very different to a standard PID controller, where the control move is obtained by solving an empirical equation which incorporates the system dynamic infor- mation, indirectly through the tuning parameters such as proportional gain. It is important to note that the optimization framework employed in the MPC formulation allows for great flexibility in terms of choosing the functional form of the objective function and the constraints, leading to different MPC variations. For example, the output-MPC formulation of Eq. 4.1, combines the contribution of control variable deviation from the set point with the overall manipulative variable effort (∆u term) towards the disturbance rejection, in a single objective function. 59PDF Image | Operation and Control of Pressure Swing Adsorption Systems
PDF Search Title:
Operation and Control of Pressure Swing Adsorption SystemsOriginal File Name Searched:
Khajuria-H-2011-PhD-Thesis.pdfDIY PDF Search: Google It | Yahoo | Bing
CO2 Organic Rankine Cycle Experimenter Platform The supercritical CO2 phase change system is both a heat pump and organic rankine cycle which can be used for those purposes and as a supercritical extractor for advanced subcritical and supercritical extraction technology. Uses include producing nanoparticles, precious metal CO2 extraction, lithium battery recycling, and other applications... More Info
Heat Pumps CO2 ORC Heat Pump System Platform More Info
| CONTACT TEL: 608-238-6001 Email: greg@infinityturbine.com | RSS | AMP |