A controller output observer is used for estimating specific outputs from a physical system through the use of alternative outputs that are measured. In most cases these estimated signals can be measured directly using sensors. However, some outputs are either not possible to measure directly or alternative outputs are just easier to measure. This paper focused on a method to estimate immeasurable quantities, in near real time, through the use of physical models and measured quantities. This can be done through the use of classical observers as introduced by Luenberger in 1964 (“Observing the state of a Linear System,” IEEE Trans. Mil. Electron., 8, pp. 74–80) However, since observers estimate the system states, one would have to again estimate the sought after outputs by another method, such as a constitutive relationship. The method proposed here shows that certain signals can be estimated directly by using a controller but without using a constitutive law. These estimated quantities are inputs to a model of the real system. In other words, these inputs drive the observer model. A promising use for the controller output observer is estimation of tire forces in vehicles. This is because tires are very difficult to model accurately, and even if the tire is modeled accurately, the surface conditions of the road must be known to predict tire forces. The controller output observer does not require a model of the tires. The method is tested using a vehicle model. Real measurements from a vehicle are used to show that the method succeeds in estimating quantities from the real vehicle.
Skip Nav Destination
Article navigation
November 2008
Research Papers
The Controller Output Observer: Estimation of Vehicle Tire Cornering and Normal Forces
Basar Ozkan,
Basar Ozkan
Postdoctoral Researcher
Department of Mechanical and Aeronautical Engineering,
University of California
, Davis, CA 95616
Search for other works by this author on:
Donald Margolis,
Donald Margolis
Professor
Department of Mechanical and Aeronautical Engineering,
University of California
, Davis, CA 95616
Search for other works by this author on:
Marco Pengov
Marco Pengov
PSA Peugeot Citroën
, Route de Gizy, VV141, 78943 Vélizy Villacoublay Cedex, France
Search for other works by this author on:
Basar Ozkan
Postdoctoral Researcher
Department of Mechanical and Aeronautical Engineering,
University of California
, Davis, CA 95616
Donald Margolis
Professor
Department of Mechanical and Aeronautical Engineering,
University of California
, Davis, CA 95616
Marco Pengov
PSA Peugeot Citroën
, Route de Gizy, VV141, 78943 Vélizy Villacoublay Cedex, FranceJ. Dyn. Sys., Meas., Control. Nov 2008, 130(6): 061002 (10 pages)
Published Online: September 24, 2008
Article history
Received:
August 17, 2006
Revised:
April 6, 2008
Published:
September 24, 2008
Citation
Ozkan, B., Margolis, D., and Pengov, M. (September 24, 2008). "The Controller Output Observer: Estimation of Vehicle Tire Cornering and Normal Forces." ASME. J. Dyn. Sys., Meas., Control. November 2008; 130(6): 061002. https://doi.org/10.1115/1.2957627
Download citation file:
Get Email Alerts
Offline and online exergy-based strategies for hybrid electric vehicles
J. Dyn. Sys., Meas., Control
Optimal Control of a Roll-to-Roll Dry Transfer Process With Bounded Dynamics Convexification
J. Dyn. Sys., Meas., Control (May 2025)
In-Situ Calibration of Six-Axis Force/Torque Transducers on a Six-Legged Robot
J. Dyn. Sys., Meas., Control (May 2025)
Active Data-enabled Robot Learning of Elastic Workpiece Interactions
J. Dyn. Sys., Meas., Control
Related Articles
Multi-Objective Optimization of the Handling Performances of a Road Vehicle: A Fundamental Study on Tire Selection
J. Mech. Des (July,2004)
Tire Damping Effect on Ride Quality of Vehicles With Active Control Suspensions
J. Vib. Acoust (June,2009)
Suspension Synthesis for N:1 Roll Center Motion
J. Mech. Des (July,2005)
Dynamic Friction Model-Based Tire-Road Friction Estimation and Emergency Braking Control
J. Dyn. Sys., Meas., Control (March,2005)
Related Proceedings Papers
Related Chapters
Controller and Electronics Design
Magnetic Bearings for Mechanical Cardiac Assist Devices
Fractional-Order PID Controller and Fractional-Order Disturbance Observer
Robust Adaptive Control for Fractional-Order Systems with Disturbance and Saturation
Design of Fractional-Order Controllers for Nonlinear Chaotic Systems and Some Applications
Robust Adaptive Control for Fractional-Order Systems with Disturbance and Saturation