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Research Papers: Gas Turbines: Controls, Diagnostics, and Instrumentation

Integrated HCCI Engine Control Based on a Performance Index

[+] Author and Article Information
M. Bidarvatan

Department of Mechanical
Engineering-Engineering Mechanics,
Michigan Technological University,
Houghton, Michigan 49930
e-mail: mbidarva@mtu.edu

M. Shahbakhti

Department of Mechanical
Engineering-Engineering Mechanics,
Michigan Technological University,
Houghton, Michigan 49930
e-mail: mahdish@mtu.edu

Contributed by the Controls, Diagnostics and Instrumentation Committee of ASME for publication in the JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Manuscript received February 16, 2014; final manuscript received February 22, 2014; published online May 2, 2014. Editor: David Wisler.

J. Eng. Gas Turbines Power 136(10), 101601 (May 02, 2014) (9 pages) Paper No: GTP-14-1102; doi: 10.1115/1.4027279 History: Received February 16, 2014; Revised February 22, 2014

The integrated control of a homogenous charge compression ignition (HCCI) combustion phasing, load, and exhaust aftertreatment system is essential for realizing high-efficient HCCI engines, while maintaining low hydrocarbon (HC) and carbon monoxide (CO) emissions. This paper introduces a new approach for integrated HCCI engine control by defining a novel performance index to characterize different HCCI operating regions. The experimental data from a single cylinder engine at 214 operating conditions is used to determine the performance index for a blended fuel HCCI engine. The new performance index is then used to design an optimum reference trajectory for a multi-input multi-output HCCI controller. The optimum trajectory is designed for control of the combustion phasing and indicated mean effective pressure (IMEP), while meeting catalyst light-off requirements for the exhaust aftertreatment system. The designed controller is tested on a previously validated physical HCCI engine model. The simulation results illustrate the successful application of the new approach for controller design of HCCI engines.

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References

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Figures

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Fig. 1

Background of the HCCI engine control in literature

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Fig. 2

Engine operating range for 214 steady-state experimental data points (EGR = 0%)

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Fig. 3

Range of the load, exhaust temperature, and exhaust emission concentrations for the experimental data points shown in Fig. 2

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Fig. 4

Variation of the HCCI engine performance index versus variations in the engine load, emission concentrations, and exhaust gas temperature. The solid lines show the range of experimental data (according to Fig. 3) and the dashed lines show the projection up to 100% normalized variation. The two black horizontal dashed lines show ΔPI = ±2%.

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Fig. 5

Engine REI contour versus the IMEP and CA50 variations. Black dots in the figure indicate the location of experimental data.

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Fig. 6

Engine AEI contour versus the IMEP and CA50 variations

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Fig. 7

Engine PI contour versus the IMEP and CA50 variations

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Fig. 8

A schematic representation of the OCP algorithm

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Fig. 9

Calculated desired CA50 trajectories: (a) in local low load and high load regions, and (b) transition from the low load region to the high load region (α = 0.02, β = 5 CAD)

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Fig. 10

Desired trajectories for Fig. 9(a) case I: (a) determined desired CA50 trajectory, and (b) input desired IMEP trajectory (α = 0.02, β = 5 CAD)

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Fig. 11

Schematic of the controller's structure

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Fig. 12

Tracking control results: (a) control outputs, and (b) control inputs. The desired CA50 and IMEP trajectories are from Fig. 10.

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