ASME 2008 Dynamic Systems and Control Conference, Parts a and B 2008
DOI: 10.1115/dscc2008-2166
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Transmission Clutch Fill Control Using a Customized Dynamic Programming Method

Abstract: Clutch fill control is critical for automotive transmission performance and fuel economy, including both automatic and hybrid transmissions. The traditional approach, by which the clutch fill pressure command is manually calibrated, has a couple of limitations. First, the pressure profile is not optimized to reduce the peak clutch fill flow demand. Moreover, it is not systematically designed to account for uncertainties in the system, such as variations of solenoid valve time delay and parameters of the clutch… Show more

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Cited by 5 publications
(5 citation statements)
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“…For each of the grid points at each stage, 15 calculations are required to evaluate the cost function and 15 additional calculations maybe required to perform any interpolations as described in [15], which leads to very large computation times. The high dimensionality of the problem and the stiff nature of the dynamics make the application of the conventional dynamic programming very difficult.…”
Section: B Optimization Of the Area-schedulementioning
confidence: 99%
See 1 more Smart Citation
“…For each of the grid points at each stage, 15 calculations are required to evaluate the cost function and 15 additional calculations maybe required to perform any interpolations as described in [15], which leads to very large computation times. The high dimensionality of the problem and the stiff nature of the dynamics make the application of the conventional dynamic programming very difficult.…”
Section: B Optimization Of the Area-schedulementioning
confidence: 99%
“…The improved dynamic programming method presented in [15] is thus used for the solution of the reduced order optimization problem. The parameter A spool (t) is the control input which needs to be optimized to control the trajectory of X act , V act and P a .…”
Section: Dynamic Programming Using a Reduced Order Modelmentioning
confidence: 99%
“…To convert DP into a finite computational problem, the standard method is to use state space quantization [8,[11][12][13]. By applying this approach, the state space is discretized into finite grids according to…”
Section: Application Of Dynamic Programming To the Optimal Clutch Engmentioning
confidence: 99%
“…This process is called clutch fill and engagement. The dynamics associated with clutch engagement can be modelled as [8,9]…”
Section: Hydraulic Clutch Actuator Modelmentioning
confidence: 99%
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