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ABSTRACT: Switching between 2-stroke and 4-stroke modes of homogeneous charge compression ignition (HCCI) operation is a promising method for extending load range of HCCI engine. Switching between the two modes introduces disturbances into the system resulting in significant tracking errors. We propose an architecture for control system and a method for calculation of control inputs which minimize the tracking errors during switching. Proposed method produces inputs for engine valve timings which insure smooth transitions between the two HCCI modes under a varying engine load. The method uses techniques from the theory of system identification and the theory of optimal control.
American Control Conference, 2009. ACC '09.; 07/2009
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ABSTRACT: In this paper we propose a model of a two stroke homogeneous charge compression ignition (HCCI) engine which captures the important characteristics of gas exchange processes taking place in a two stroke mode. The model allows a direct flow of gases between intake and exhaust volumes and hence offers a more detailed gas modeling than single volume models widely accepted in the literature. We compare simulation results obtained from the model with experimental data collected with a single cylinder HCCI engine. We also propose a simple control strategy allowing effective tracking of reference signals in indicated mean effective pressure (IMEP) and combustion phasing.
American Control Conference, 2008; 07/2008
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ABSTRACT: We develop a path-following algorithm for redesign of tracking feedback laws to reduce the control effort. Our algorithm provides a tradeoff between the control effort and the dynamic performance along the path, while maintaining the desired convergence to the path. We illustrate it on a realistic hovercraft model, and compare the resulting control effort with control efforts of other path-following and tracking algorithms
IEEE Transactions on Automatic Control 12/2006; · 2.11 Impact Factor
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ABSTRACT: We develop an algorithm for the design of path-following feedback laws for a feedback linearizable nonlinear systems with input constraints. Our main contribution is a preview based feedback law for the path parameter, which reduces the time necessary to traverse a given interval of the path. In contrast to the time-optimal solution, we require only limited knowledge of the path in the future. We illustrate the proposed algorithm on two examples and compare its performance with the time-optimal solution
American Control Conference, 2006; 07/2006
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ABSTRACT: We develop a path-following algorithm for redesign of tracking feedback laws to reduce the control effort. Our algorithm provides a tradeoff between the control effort and the dynamic performance along the path, while maintaining the desired convergence to the path. It is applicable to feedback linearizable systems with stable zero dynamics. We illustrate it on a realistic hovercraft model, and compare the resulting control effort with control efforts of other path-following and tracking algorithms.
Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05. 44th IEEE Conference on; 01/2006
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ABSTRACT: In the practical path-following problem formulated in this paper, it is required that the error between the system output and the desired geometric path be less then any prespecified constant. If in a nonlinear MIMO system the output derivatives do not enter the zero dynamics, a geometric condition on the path is given under which a solution to this problem exists. The solution is obtained by combining input-to-state stability and switched-system methodology.
Decision and Control, 2004. CDC. 43rd IEEE Conference on; 01/2005
