Constrained multivariable extremum-seeking for online fuel-efficiency optimization of Diesel engines |
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Affiliation: | 1. Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education, Dalian University of Technology, Dalian, 116024, China;2. School of Control Science and Engineering, Dalian University of Technology, Dalian, 116024, China |
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Abstract: | This work presents a new method for online fuel-efficiency optimization of Diesel engines, using constrained extremum-seeking. A two-input optimization problem, which is suitable for extremum-seeking, is integrated into a tracking control system. As a result, both air-path and fuel-path actuators are used for tracking and extremum-seeking. A key element of the proposed method is a cost function based on real-time BSFC estimation. Moreover, an existing constrained extremum-seeking method is extended to multiple output constraints. Experiments on a Euro-VI heavy-duty Diesel engine demonstrate the constraint handling, robustness with respect to real-world disturbances, and the fuel saving potential of the control design. |
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Keywords: | Extremum-seeking Constraint handling Multivariable control Real-time optimization Diesel engine control Fuel-efficiency optimization Real-world driving emissions |
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