A Multiobjective Parametric Optimization for Passenger-Car Steering Actuator

In this study, the control design problem of double-pinion-type electric power assist steering (EPAS) is carefully examined. Based on a Lagrangian-based dynamical model, an optimal control approach with unknown input is formulated thereby eliminating the need for torque sensor. A new controller is developed using combination of non-linear assist curve, unknown-input estimator (UIE) and linear quadratic integral theory. It has been established that the estimation of the state, and unknown input using UIE yields a good estimate with performance compared with the well-known Kalman estimator. It is further shown that the resulting closed-loop response is able to track non-linear assist curve for different velocity. This reveals a salient feature, that is, controlling an EPAS system can be done using only single constant gain.

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A Multiobjective Parametric Optimization for Passenger-Car Steering Actuator

Cited by 17 publications

References 15 publications

Evaluation and improvement of residence time distribution analysis methods

Evaluation and improvement of residence time distribution analysis methods

Steering feel improvement by mathematical modeling of the Electric Power Steering system

Unknown-input estimator-based controller design of electric power-assisted steering system

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