A model predictive control for an aggregate actuator with a self-tuning initial condition procedure in combustion engines

Paolo Mercorelli; Nils Werner; Benedikt Haus

A model predictive control for an aggregate actuator with a self-tuning initial condition procedure in combustion engines

Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research › peer-review

Standard

A model predictive control for an aggregate actuator with a self-tuning initial condition procedure in combustion engines. / Mercorelli, Paolo; Werner, Nils; Haus, Benedikt.

Model Predictive Control: Theory, Practices and Future Challenges. ed. / Corrine Wade. New York : Nova Science Publishers, Inc., 2015. p. 41-59 2 (Mechanical Engineering Theory and Applications).

Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research › peer-review

Harvard

Mercorelli, P, Werner, N & Haus, B 2015, A model predictive control for an aggregate actuator with a self-tuning initial condition procedure in combustion engines. in C Wade (ed.), Model Predictive Control: Theory, Practices and Future Challenges., 2, Mechanical Engineering Theory and Applications, Nova Science Publishers, Inc., New York, pp. 41-59.

APA

Mercorelli, P., Werner, N., & Haus, B. (2015). A model predictive control for an aggregate actuator with a self-tuning initial condition procedure in combustion engines. In C. Wade (Ed.), Model Predictive Control: Theory, Practices and Future Challenges (pp. 41-59). [2] (Mechanical Engineering Theory and Applications). Nova Science Publishers, Inc..

Vancouver

Mercorelli P, Werner N, Haus B. A model predictive control for an aggregate actuator with a self-tuning initial condition procedure in combustion engines. In Wade C, editor, Model Predictive Control: Theory, Practices and Future Challenges. New York: Nova Science Publishers, Inc. 2015. p. 41-59. 2. (Mechanical Engineering Theory and Applications).

Bibtex

@inbook{4097ce4525a44dfd91184d014282e1fc,

title = "A model predictive control for an aggregate actuator with a self-tuning initial condition procedure in combustion engines",

abstract = "This contribution deals with a hybrid actuator composed by a piezo and a hydraulic part and with a Robust Model Predictive Control (RMPC) structure combined with a feedforward control in camless engine motor applications. A combination between a feedforward control based on an inversion of the system and an MPC structure is considered. To perform a feedforward regulator an identification of the start condition of the piezo actuator is needed. This start condition of the piezo actuator is due to some structural constructive aspects which generate an offset into the piezo position. The feedforward regulator ends up being an affine function to compensate for this offset. A procedure for its identification is proposed. The idea behind the conception of the proposed new actuator is to use the advantages of both the high precision of the piezo and the force of the hydraulic part. In fact, piezoelectric actuators (PEAs) are commonly used for precision positionings, despite the fact that PEAs present nonlinearities, such as hysteresis, saturations, and creep. In the control problem such nonlinearities must be taken into account. In this paper the Preisach dynamic model with the abovemen-tioned nonlinearities is considered together with a feedforward control combined with a RMPC. Simulations of the implementation of the MPC structure together with the feedforward regulator and the abovementioned start condition of the piezo actuator with real data are shown.",

keywords = "Actuators, Combustion engines, Model predictive control, Engineering, Combustion engines, Model predictive control",

author = "Paolo Mercorelli and Nils Werner and Benedikt Haus",

year = "2015",

language = "English",

isbn = "9781634638593",

series = "Mechanical Engineering Theory and Applications",

publisher = "Nova Science Publishers, Inc.",

pages = "41--59",

editor = "Corrine Wade",

booktitle = "Model Predictive Control: Theory, Practices and Future Challenges",

address = "United States",

}

RIS

TY - CHAP

T1 - A model predictive control for an aggregate actuator with a self-tuning initial condition procedure in combustion engines

AU - Mercorelli, Paolo

AU - Werner, Nils

AU - Haus, Benedikt

PY - 2015

Y1 - 2015

N2 - This contribution deals with a hybrid actuator composed by a piezo and a hydraulic part and with a Robust Model Predictive Control (RMPC) structure combined with a feedforward control in camless engine motor applications. A combination between a feedforward control based on an inversion of the system and an MPC structure is considered. To perform a feedforward regulator an identification of the start condition of the piezo actuator is needed. This start condition of the piezo actuator is due to some structural constructive aspects which generate an offset into the piezo position. The feedforward regulator ends up being an affine function to compensate for this offset. A procedure for its identification is proposed. The idea behind the conception of the proposed new actuator is to use the advantages of both the high precision of the piezo and the force of the hydraulic part. In fact, piezoelectric actuators (PEAs) are commonly used for precision positionings, despite the fact that PEAs present nonlinearities, such as hysteresis, saturations, and creep. In the control problem such nonlinearities must be taken into account. In this paper the Preisach dynamic model with the abovemen-tioned nonlinearities is considered together with a feedforward control combined with a RMPC. Simulations of the implementation of the MPC structure together with the feedforward regulator and the abovementioned start condition of the piezo actuator with real data are shown.

AB - This contribution deals with a hybrid actuator composed by a piezo and a hydraulic part and with a Robust Model Predictive Control (RMPC) structure combined with a feedforward control in camless engine motor applications. A combination between a feedforward control based on an inversion of the system and an MPC structure is considered. To perform a feedforward regulator an identification of the start condition of the piezo actuator is needed. This start condition of the piezo actuator is due to some structural constructive aspects which generate an offset into the piezo position. The feedforward regulator ends up being an affine function to compensate for this offset. A procedure for its identification is proposed. The idea behind the conception of the proposed new actuator is to use the advantages of both the high precision of the piezo and the force of the hydraulic part. In fact, piezoelectric actuators (PEAs) are commonly used for precision positionings, despite the fact that PEAs present nonlinearities, such as hysteresis, saturations, and creep. In the control problem such nonlinearities must be taken into account. In this paper the Preisach dynamic model with the abovemen-tioned nonlinearities is considered together with a feedforward control combined with a RMPC. Simulations of the implementation of the MPC structure together with the feedforward regulator and the abovementioned start condition of the piezo actuator with real data are shown.

KW - Actuators

KW - Combustion engines

KW - Model predictive control

KW - Engineering

KW - Combustion engines

KW - Model predictive control

UR - http://www.scopus.com/inward/record.url?scp=84955697823&partnerID=8YFLogxK

M3 - Contributions to collected editions/anthologies

AN - SCOPUS:84955697823

SN - 9781634638593

SN - 163463859X

T3 - Mechanical Engineering Theory and Applications

SP - 41

EP - 59

BT - Model Predictive Control: Theory, Practices and Future Challenges

A2 - Wade, Corrine

PB - Nova Science Publishers, Inc.

CY - New York

ER -