A Three-Pillar Framework for Model-Based Engine Control System Development

Author(s):  
Raymond Turin ◽  
Man-Feng Chang ◽  
Rong Zhang ◽  
Oguz H. Dagci
Author(s):  
John McArthur ◽  
Travis Boehm ◽  
Bobbie Hegwood ◽  
Oran Watts

LibertyWorks™ (Rolls-Royce North American Technologies Inc.) is developing an integrated environment for design, development, testing, and integration of current and future decentralized gas turbine engine control systems. This paper serves as a mid-project status update to solicit recommendations from industry and academia on what might be done to make it better, and to give the community a preview. Identified as the Decentralized Engine Control System Simulator (DECSS), this system has the capabilities to support flexible, decentralized control system architectures containing both simulated and physical hardware-in-the-loop control components. Neither the DECSS nor the project developing the DECSS will make a selection of a preferred control system architecture/design method, nor a preferred communication architecture/protocol, but instead will provide a flexible environment for future users to rapidly evaluate potential solutions in a real-time environment with hardware in the loop. This paper describes the DECSS functions, capabilities, organization and how it will be used as a NASA asset for future engine control system development.


Author(s):  
Hoseinali Borhan ◽  
Edmund Hodzen

In this paper, a systematic model-based calibration framework basing on robust design optimization technique is developed for engine control system. In this framework, the control system is calibrated in an optimization fashion where both performance and robustness of the closed-loop system to uncertainties are optimized. The proposed calibration process has three steps; in the first step, the optimal performance of the system at the nominal conditions where the effects of uncertainties are ignored is computed by formulation of the controller calibration as an optimization problem. The capabilities of the controller are fully explored at nominal conditions. In the second step, the robustness and sensitivity of a selected control design to the system uncertainties is analyzed using Monte Carlo simulation. In the third step, robust design optimization is applied to optimize both performance and robustness of the closed-loop system to the uncertainties. The robustness capabilities of the controller are fully explored and the one that satisfies both performance and robustness requirements is selected. This process is implemented for the calibration of an advanced Diesel air path control system with a Variable Geometry Turbocharge (VGT) and dual loop EGR architecture.


2006 ◽  
Author(s):  
Seungbum Park ◽  
Hakmo Yoo ◽  
Youngkug Park ◽  
Seyong Lee ◽  
Seongmin Park ◽  
...  

1996 ◽  
Author(s):  
Scott R. Anderson ◽  
Chris R. Ciesla ◽  
David M. Carey ◽  
Shankar Raja

2015 ◽  
Vol 48 (16) ◽  
pp. 261-266 ◽  
Author(s):  
Nicolai Pedersen ◽  
Jan Madsen ◽  
Morten Vejlgaard-Laursen

1970 ◽  
Author(s):  
D. A. Prue ◽  
T. L. Soule

The next generation of free-turbine engines in the 2 to 5-lb/sec airflow class will undergo vast improvements in performance and efficiency. The improvements will be achieved concurrent with overall reductions in size and weight. Effort is required at optimization and miniaturization of the engine control system to keep pace with these improvements. This paper describes a conceptual design of an advanced engine control system for this class of engine. It provides gas generator and power turbine control with torque, temperature, load sharing and overspeed limiting functions. The control system was concepted to accommodate, with minimum hardware changes, such variants as regenerative cycle and/or variable power turbine geometry. In addition, considerations for closed and open loop modes of control and fluidic, electronic and hydromechanical technologies were studied to best meet a defined specification and a weighted set of evaluation criteria.


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