A closed-loop system identification method is developed to estimate the parameters of a single input single output (SISO) linear time invariant system (LTI) operating within a feedback loop. The method uses the reference command in addition to the input–output data and establishes a correlation framework to structure the system. The correlation-based method is capable of delivering consistent estimates provided that the specific conditions on the signals are met. The method parallels the instrumental variables four step algorithm (IV4) and is comprised of three steps. First a model is estimated using cross correlation calculations between the reference input signal and the control and measured output signals. In the second step, a prefilter is identified to reduce estimation bias. In the final step, the prefilter, the instrumental variables and the measured signals are employed to estimate the final model. A consistency proof is provided for the proposed estimation process. The method is demonstrated on two examples. The first uses data collected from a diesel engine operation, and an open-loop model relating fueling to engine speed is sought. The identification process is complicated by the presence of nonmeasurable external torque disturbances and stochastic sensor noise. The second example uses data obtained from a time domain simulation of a closed-loop system where high levels of nonmeasured noise and disturbances were considered and a comparison with existing methods is made.
Skip Nav Destination
Article navigation
January 2014
Technical Briefs
Closed-Loop System Identification Based on Data Correlation
Hassene Jammoussi,
Hassene Jammoussi
1
e-mail: hjammoussi@uh.edu
1Corresponding author.
Search for other works by this author on:
Karolos Grigoriadis,
Karolos Grigoriadis
Department of Mechanical Engineering,
University of Houston
,Houston, TX 77204
Search for other works by this author on:
Martin Books
Martin Books
Power Systems Controls,
Cummins Inc.
,Columbus, IN 47203
Search for other works by this author on:
Hassene Jammoussi
e-mail: hjammoussi@uh.edu
Karolos Grigoriadis
Department of Mechanical Engineering,
University of Houston
,Houston, TX 77204
Martin Books
Power Systems Controls,
Cummins Inc.
,Columbus, IN 47203
1Corresponding author.
Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received September 26, 2012; final manuscript received July 2, 2013; published online October 18, 2013. Assoc. Editor: Gregory Shaver.
J. Dyn. Sys., Meas., Control. Jan 2014, 136(1): 014507 (10 pages)
Published Online: October 18, 2013
Article history
Received:
September 26, 2012
Revision Received:
July 2, 2013
Citation
Jammoussi, H., Franchek, M., Grigoriadis, K., and Books, M. (October 18, 2013). "Closed-Loop System Identification Based on Data Correlation." ASME. J. Dyn. Sys., Meas., Control. January 2014; 136(1): 014507. https://doi.org/10.1115/1.4025158
Download citation file:
Get Email Alerts
Cited By
Multi Combustor Turbine Engine Acceleration Process Control Law Design
J. Dyn. Sys., Meas., Control
A Distributed Layered Planning and Control Algorithm for Teams of Quadrupedal Robots: An Obstacle-Aware Nonlinear Model Predictive Control Approach
J. Dyn. Sys., Meas., Control (May 2025)
Active Data-Enabled Robot Learning of Elastic Workpiece Interactions
J. Dyn. Sys., Meas., Control (May 2025)
Innovative Pressure Control With ANFIS-Enhanced Mode Switching for High-Speed Pneumatic Systems
J. Dyn. Sys., Meas., Control (May 2025)
Related Articles
Sliding Mode Output Feedback Control of Vibration in a Flexible Structure
J. Dyn. Sys., Meas., Control (November,2007)
Active Vibration Control With Modified Positive Position Feedback
J. Dyn. Sys., Meas., Control (July,2009)
Measurement Errors in Closed-Loop Frequency Response Estimates
J. Dyn. Sys., Meas., Control (March,1980)
Design and Analysis for Uncertain Repetitive Control Systems With Unknown Disturbances
J. Dyn. Sys., Meas., Control (December,2018)
Related Chapters
A Novel Approach for LFC and AVR of an Autonomous Power Generating System
International Conference on Mechanical Engineering and Technology (ICMET-London 2011)
Mash 2-1 Multi-Bit Sigma-Delta Modulator for WLAN
International Conference on Future Computer and Communication, 3rd (ICFCC 2011)
QP Based Encoder Feedback Control
Robot Manipulator Redundancy Resolution