A predictive control solution for driveline oscillations damping

Caruntu, Constantin F.; Balau, Andreea Elena; Lazăr, Mircea; Bosch, Paul; Cairano, Stefano Di

doi:10.1145/1967701.1967728

Cited by 31 publications

(19 citation statements)

References 10 publications

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“…For a more detailed definition of these torques the interested reader is referred to (Caruntu et al, 2011).…”

Section: Vehicle Drivetrain Modelingmentioning

confidence: 99%

“…The engine torque (control input) is restricted by lower and upper bounds and by a torque rate constraint (see (Caruntu et al, 2011) for details), i.e., 0 ≤u The engine and wheel speeds are bounded, i.e., ω…”

Section: Vehicle Drivetrain Modelingmentioning

confidence: 99%

“…For a proof of Lemma 4 we refer to (Caruntu et al, 2011) for brevity. By augmenting Problem 2 with constraint (28) the property lim k→∞ λ * k = 0 is thus guaranteed, which is sufficient for asymptotic stability.…”

Section: (26) Holds} and Letmentioning

confidence: 99%

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Horizon-1 predictive control of networked controlled vehicle drivetrains

Caruntu

Lazăr

Cairano

et al. 2011

IFAC Proceedings Volumes

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“…For a more detailed definition of these torques the interested reader is referred to (Caruntu et al, 2011).…”

Section: Vehicle Drivetrain Modelingmentioning

confidence: 99%

Section: Vehicle Drivetrain Modelingmentioning

confidence: 99%

See 1 more Smart Citation

Horizon-1 predictive control of networked controlled vehicle drivetrains

Caruntu

Lazăr

Cairano

et al. 2011

IFAC Proceedings Volumes

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“…(5) holds} is asymptotically stable in X as stated in Theorem III.2 of [8]. In Lemma 3.4 of [9] is proven that if (5c) is satisfied then lim k→∞ λ * (k) = 0.…”

Section: Preliminariesmentioning

confidence: 95%

Predictive DC-link voltage control of permanent magnet synchronous machine drives for hybrid electric vehicles

Carpiuc

Lazăr

2014

2014 IEEE Conference on Control Applications (CCA)

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The goal of this paper is to provide a controller synthesis method for controlling the DC-link voltage in permanent magnet synchronous machine drives employed in hybrid electric vehicles (HEVs). To this end, a model predictive controller based on control Lyapunov functions is used to adjust the torque request in order to obtain fast and monotonic transient DC-link voltage. Moreover, a state and disturbance observer is used to obtain the load current needed by the control structure. The torque reference has to be converted into current references in order to be used by the inner current control loop. Because the torque function is a non-convex non-linear function, a piecewise affine approximation is made by gridding the current and torque spaces. As a result, the current reference generation problem is reduced to a convex optimization problem. The effectiveness of the proposed method is illustrated using a realistic simulation scenario including a comparison with the classical PI approach.

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“…However, the H infinity approach is more conservative than the mu synthesis method. A predictive controller was used to damp driveline oscillations for a conventional vehicle in which delays introduced by the controller area network (CAN) can be compensated (Caruntu et al, 2011a). In EV/HEVs, the driveline damping control is different from conventional vehicles because of the motor's quick torque response.…”

Section: Introductionmentioning

confidence: 99%

Drivability improvements for a single-motor parallel hybrid electric vehicle using robust controls

Wang

Zhang

et al. 2014

J. Zheijang Univ.-Sci.

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For a single-motor parallel hybrid electric vehicle, during mode transitions (especially the transition from electric drive mode to engine/parallel drive mode, which requires the clutch engagement), the drivability of the vehicle will be significantly affected by a clutch torque induced disturbance, driveline oscillations and jerks which can occur without adequate controls. To improve vehicle drivability during mode transitions for a single-motor parallel hybrid electric vehicle, two controllers are proposed. The first controller is the engine-side controller for engine cranking/starting and speed synchronization. The second controller is the motor-side controller for achieving a smooth mode transition with reduced driveline oscillations and jerks under the clutch torque induced disturbance and system uncertainties. The controllers are all composed of a feed-forward control and a robust feedback control. The robust controllers are designed by using the mu synthesis method. In the design process, controloriented system models that take account of various parameter uncertainties and un-modeled dynamics are used. The results of the simulation demonstrate the effectiveness of the proposed control algorithms.

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A predictive control solution for driveline oscillations damping

Cited by 31 publications

References 10 publications

Horizon-1 predictive control of networked controlled vehicle drivetrains

Horizon-1 predictive control of networked controlled vehicle drivetrains

Predictive DC-link voltage control of permanent magnet synchronous machine drives for hybrid electric vehicles

Drivability improvements for a single-motor parallel hybrid electric vehicle using robust controls

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