Robust feedback linearization using an adaptive PD regulator for a sensorless control of a throttle valve
Research output: Journal contributions › Journal articles › Research › peer-review
Standard
In: Mechatronics, Vol. 19, No. 8, 01.12.2009, p. 1334-1345.
Research output: Journal contributions › Journal articles › Research › peer-review
Harvard
APA
Vancouver
Bibtex
}
RIS
TY - JOUR
T1 - Robust feedback linearization using an adaptive PD regulator for a sensorless control of a throttle valve
AU - Mercorelli, Paolo
N1 - Cited By (since 1996): 5 Export Date: 22 May 2012 Source: Scopus CODEN: MECHE doi: 10.1016/j.mechatronics.2009.08.008 Language of Original Document: English Correspondence Address: Mercorelli, P.; University of Applied Sciences Wolfsburg, Faculty of Automotive Engineering, Robert-Koch-Platz 8-a, 38440 Wolfsburg, Germany; email: p.mercorelli@fh-wolfsburg.de References: Consoli, A., Bottiglieri, A., Letor, R., Ruggeri, R., Testa, A., De Caro, S., Sensorless position control of dc actuators for automotive applications (2004) Industry applications conference, 39th IAS annual meeting. Conference record of the, 2, pp. 1217-1224. , IEEE; Dagci, O.H., Pan, Y., Ozguner, U., Sliding mode control of electronic throttle valve (2002) Proceedings of the 2002 American control conference, 3, pp. 1996-2001; Ozguner, U., Hong, S., Pan, Y., Winkelman, J., Discrete-time sliding mode control of electronic throttle valve (2001) IEEE conference on decision and control; Beghi, A., Nardo, L., Stevanato, M., Observer-based discrete-time sliding mode throttle control for drive-bywire operation of a racing motorcycle engine (2006) Contr Syst Technol, IEEE Trans, 14 (4), pp. 767-775; Braune, S., Liu, S., Mercorelli, P., Design and control of an electromagnetic valve actuator (2006) IEEE international conference on control applications; Astrom, K.J., (1970) Introduction to stochastic control theory, , Academic Press; Emami-Naeini, A., Franklin, G.F., Powell, J.D., (1997) Digital control of dynamic systems, , Addison-Wesley, Longman; Slotine, J.-J.E., Li, W., (1991) Applied nonlinear control, , Prentice Hall; Isidori, A., (1989) Nonlinear control systems, , Spring-Verlag August; Sepulchre, R., Janković, M., Kokotović, P., (1997) In Constructive nonlinear control, , Spring-Verlag, London; Emami-Naeini, A., Franklin, G.F., Powell, J.D., (1997) Feedback control of dynamic systems, , Addison-Wesley, Longman; Vidyasagar, M., On the stabilization of nonlinear system using state detection (1980) IEEE Trans Autom Contr, 25 (3), pp. 504-509; Rossi, C., Tilli, A., Tonielli, A., Robust control of a throttle body for drive by wire operation of automotive engines (2000) IEEE Trans Contr Syst Technol, 8 (6), pp. 993-1002
PY - 2009/12/1
Y1 - 2009/12/1
N2 - With classic gasoline injection systems, engine efficiency and emissions are affected by the control of the throttle plate, in particular its angular position. Depending on the current engine load, the angular position must track a trajectory as determined by the accelerator. This paper considers two problems. The first one is the design of a state observer. A velocity estimator is proposed based on measurements of current. If the effect of the noise is minimized, the angular position can be achieved through a cascade structure between a particular velocity estimator and an inversion of the electrical system. This approach allows us to avoid a more complex structure for the observer, and yields an acceptable performance and the elimination of bulky position sensor systems. The elimination of the position sensor system simplifies the production system of the valve. The second problem, the robustness of the tracking, is addressed using a minimum variance control approach. This paper presents feasible real-time self-tuning of an approximated proportional derivative (PD) regulator, which compensates for the tracking error caused by inexact feedback linearization. It is interesting to note that the structure of the approximated PD regulator is similar to the velocity estimator. Robustness in the proposed loop control is achieved. Measured results on a real experimental setup with hardware-in-the-loop are shown.
AB - With classic gasoline injection systems, engine efficiency and emissions are affected by the control of the throttle plate, in particular its angular position. Depending on the current engine load, the angular position must track a trajectory as determined by the accelerator. This paper considers two problems. The first one is the design of a state observer. A velocity estimator is proposed based on measurements of current. If the effect of the noise is minimized, the angular position can be achieved through a cascade structure between a particular velocity estimator and an inversion of the electrical system. This approach allows us to avoid a more complex structure for the observer, and yields an acceptable performance and the elimination of bulky position sensor systems. The elimination of the position sensor system simplifies the production system of the valve. The second problem, the robustness of the tracking, is addressed using a minimum variance control approach. This paper presents feasible real-time self-tuning of an approximated proportional derivative (PD) regulator, which compensates for the tracking error caused by inexact feedback linearization. It is interesting to note that the structure of the approximated PD regulator is similar to the velocity estimator. Robustness in the proposed loop control is achieved. Measured results on a real experimental setup with hardware-in-the-loop are shown.
KW - Engineering
KW - Feedback linearization
KW - Hardware-in-the-loop
KW - Minimum variance control
KW - PD regulators
KW - Robust tracking
KW - Throttle valve
UR - http://www.scopus.com/inward/record.url?scp=70849114086&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/21acf086-29ea-3b97-9c44-ab466f03c8c6/
U2 - 10.1016/j.mechatronics.2009.08.008
DO - 10.1016/j.mechatronics.2009.08.008
M3 - Journal articles
VL - 19
SP - 1334
EP - 1345
JO - Mechatronics
JF - Mechatronics
SN - 0957-4158
IS - 8
ER -