Separation of estimation and control for decentralized stochastic control systems

Automatica ◽  
1978 ◽  
Vol 14 (6) ◽  
pp. 623-628 ◽  
Author(s):  
Tsuneo Yoshikawa ◽  
Hiroaki Kobayashi
Keyword(s):  
Control Systems ◽  
Stochastic Control ◽  
Estimation And Control ◽  
And Control

Turbocharger Map Reduction for Control-Oriented Modeling

2011 ◽  
Author(s):  
Karla Stricker ◽  
Lyle Kocher ◽  
Ed Koeberlein ◽  
D. G. Van Alstine ◽  
Greg Shaver
Keyword(s):  
Control Systems ◽  
Exchange Process ◽  
Variable Geometry ◽  
Shaft Speed ◽  
Analytical Functions ◽  
Nozzle Position ◽  
Mass Flows ◽  
Estimation And Control ◽  
Gas Exchange Process ◽  
And Control

The gas exchange process in a modern diesel engine is generally modeled using manufacturer-provided performance maps that describe mass flows through, and efficiencies of, the turbine and compressor. These maps are typically implemented as look-up tables requiring multiple interpolations based on pressure ratios across the turbine and compressor, as well as the turbocharger shaft speed. In the case of variable-geometry turbochargers, the nozzle position is also an input to these maps. This method of interpolating or extrapolating data is undesirable when modeling for estimation and control, and though there have been several previous efforts to reduce dependence on turbomachinery maps, many of these approaches are complex and not easily implemented in engine control systems. As such, the aim of this paper is to reduce turbocharger maps to analytical functions for models amenable to estimation and control.

scholarly journals Light Field Estimation and Control Using a Graphical Rendering Engine

2014 ◽  
Author(s):  
Sina Afshari ◽  
Li Jia ◽  
Richard J. Radke ◽  
Sandipan Mishra
Keyword(s):  
Feedback Control ◽  
Control Systems ◽  
Light Field ◽  
Model Building ◽  
Control Approach ◽  
Lighting Control ◽  
Estimation Algorithms ◽  
Estimation And Control ◽  
Graphics Software ◽  
And Control

State-of-the-Art feedback control of lighting depends on point sensor measurements for light field generation. However, since the occupant’s perception depends on the entire light field in the room instead of the illumination at a limited set of points, the performance of these lighting control systems may be unsatisfactory. Therefore, it is critical to reconstruct the light field in the room from point sensor measurements and use it for feedback control of lights. This paper presents a framework for using graphical rendering tools along with point sensor measurements for the estimation of a light field and using these estimates for feedback control. Computer graphics software is used to efficiently and accurately model building spaces, while a game engine is used to render different lighting conditions for the space on the fly. These real-time renderings are then used together with sensor measurements to estimate and control the light field in the room using an optimization-based feedback control approach. We present a set of estimation algorithms for this purpose and analyze their convergence and performance limitations. Finally, we demonstrate closed loop lighting control systems that use these estimation algorithms and compare their relative performance, highlighting their benefits and disadvantages.

Turbocharger Map Reduction for Control-Oriented Modeling

2014 ◽  
Vol 136 (4) ◽  
Author(s):  
Karla Stricker ◽  
Lyle Kocher ◽  
Ed Koeberlein ◽  
D. G. Van Alstine ◽  
Gregory M. Shaver
Keyword(s):  
Control Systems ◽  
Exchange Process ◽  
Shaft Speed ◽  
Analytical Functions ◽  
Nozzle Position ◽  
Mass Flows ◽  
Estimation And Control ◽  
Gas Exchange Process ◽  
And Control ◽  
General Success

Models of the gas exchange process in modern diesel engines typically use manufacturer-provided maps to describe mass flows through, and efficiencies of, the turbine and compressor based on pressure ratios across the turbine and compressor, as well as the turbocharger shaft speed, and in the case of variable-geometry turbochargers, the nozzle position. These look-up maps require multiple interpolations to produce the necessary information for turbocharger performance, and are undesirable when modeling for estimation and control. There have been several previous efforts to reduce dependence on maps with general success, yet many of these approaches remain complex and are not easily integrated into engine control systems. The focus of this paper is the reduction of turbomachinery maps to analytical functions that are amenable to estimator and control design, and have been validated against manufacturer-provided turbomachinery data.

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