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BMI Based Robust Optimal Control Synthesis via Sensitivity Minimization

[+] Author Affiliations
Punit J. Tulpule, Atul G. Kelkar

Iowa State University, Ames, IA

Paper No. DSCC2013-3821, pp. V003T36A002; 9 pages
doi:10.1115/DSCC2013-3821
From:
  • ASME 2013 Dynamic Systems and Control Conference
  • Volume 3: Nonlinear Estimation and Control; Optimization and Optimal Control; Piezoelectric Actuation and Nanoscale Control; Robotics and Manipulators; Sensing; System Identification (Estimation for Automotive Applications, Modeling, Therapeutic Control in Bio-Systems); Variable Structure/Sliding-Mode Control; Vehicles and Human Robotics; Vehicle Dynamics and Control; Vehicle Path Planning and Collision Avoidance; Vibrational and Mechanical Systems; Wind Energy Systems and Control
  • Palo Alto, California, USA, October 21–23, 2013
  • Conference Sponsors: Dynamic Systems and Control Division
  • ISBN: 978-0-7918-5614-7
  • Copyright © 2013 by ASME

abstract

This paper revisits the sensitivity minimization approach with new formulation and synthesis methodology. The new robust control synthesis approach is presented here with a numerical example of an application to a header height control of combine harvester machine. The proposed synthesis methodology is compared with the H control design by comparing the performance of controllers designed using both techniques. The results indicate that the proposed methodology provides a viable alternative for robust controller synthesis and can even be better in robust performance in many cases.

Copyright © 2013 by ASME

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