Reference Hub6
Synthesis of Controllers for MIMO Systems with Time Response Specifications

Synthesis of Controllers for MIMO Systems with Time Response Specifications

Maher Ben Hariz, Wassila Chagra, Faouzi Bouani
Copyright: © 2014 |Volume: 3 |Issue: 3 |Pages: 28
ISSN: 2160-9772|EISSN: 2160-9799|EISBN13: 9781466656413|DOI: 10.4018/ijsda.2014070102
Cite Article Cite Article

MLA

Ben Hariz, Maher, et al. "Synthesis of Controllers for MIMO Systems with Time Response Specifications." IJSDA vol.3, no.3 2014: pp.25-52. http://doi.org/10.4018/ijsda.2014070102

APA

Ben Hariz, M., Chagra, W., & Bouani, F. (2014). Synthesis of Controllers for MIMO Systems with Time Response Specifications. International Journal of System Dynamics Applications (IJSDA), 3(3), 25-52. http://doi.org/10.4018/ijsda.2014070102

Chicago

Ben Hariz, Maher, Wassila Chagra, and Faouzi Bouani. "Synthesis of Controllers for MIMO Systems with Time Response Specifications," International Journal of System Dynamics Applications (IJSDA) 3, no.3: 25-52. http://doi.org/10.4018/ijsda.2014070102

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

This paper proposes the design of fixed low order controllers for Multi Input Multi Output (MIMO) decoupled systems. The simplified decoupling is used as a decoupling system technique due to its advantages compared to other decoupling methods. The main objective of the proposed controllers is to satisfy some desired closed loop step response performances such as the settling time and the overshoot. The controller design is formulated as an optimization problem which is non convex and it takes in account the desired closed loop performances. Therefore, classical methods used to solve the non convex optimization problem can generate a local solution and the resulting control law is not optimal. Thus, the thought is to use a global optimization method in order to obtain an optimal solution which will guarantee the desired time response specifications. In this work the Generalized Geometric Programming (GGP) is exploited as a global optimization method. The key idea of this method consists in transforming an optimization problem, initially, non convex to a convex one by some mathematical transformations. Simulation results and a comparison study between the presented approach and a Proportional Integral (PI) controller are given in order to shed light the efficiency of the proposed controllers.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.