This paper presents a robust mixed-sensitivity H∞ controller design via loop-shaping methodology for a class of multiple-input multiple-output (MIMO) uncertain nonlinear systems. In order to design this controller, the nonlinear plant is first modeled as several linear subsystems by Takagi and Sugeno's (T–S) fuzzy approach. Both loop-shaping methodology and mixed-sensitivity problem are then introduced to formulate frequency-domain specifications. Afterward for each linear subsystem, a regional pole-placement output-feedback H∞ controller is employed by using linear matrix inequality (LMI) approach. The parallel distributed compensation (PDC) is then used to design the controller for the overall system. Several experimental results show that the proposed method can effectively meet the performance requirements like robustness, good load disturbance rejection, and both tracking and fast transient responses even in the presence of parameter variations and load disturbance for the three-phase interior permanent-magnet synchronous motor (IPMSM). Finally, the superiority of the proposed control scheme is approved in comparison with the input–output linearization (I/O linearization) and the H2/H∞ controller methods.
Skip Nav Destination
Article navigation
September 2013
Research-Article
Position and Current Control of an Interior Permanent-Magnet Synchronous Motor by Using Loop-Shaping Methodology: Blending of H∞ Mixed-Sensitivity Problem and T–S Fuzzy Model Scheme
Vahid Azimi,
Vahid Azimi
Young Researchers and Elite Club,
Qazvin Branch,
e-mail: vahid.azimii@gmail.com
Qazvin Branch,
Islamic Azad University
,Qazvin
, Iran 3416616114
e-mail: vahid.azimii@gmail.com
Search for other works by this author on:
Ahmad Fakharian,
Ahmad Fakharian
1
Department of Electrical and Computer Engineering,
e-mail: ahmad.fakharian@qiau.ac.ir
Islamic Azad University, Qazvin Branch
,Qazvin
, Iran 1478735564
e-mail: ahmad.fakharian@qiau.ac.ir
1Corresponding author.
Search for other works by this author on:
Mohammad Bagher Menhaj
Mohammad Bagher Menhaj
Department of Electrical Engineering,
e-mail: Menhaj@aut.ac.ir
Amirkabir University of Technology
,Tehran
, Iran 3416616114
e-mail: Menhaj@aut.ac.ir
Search for other works by this author on:
Vahid Azimi
Young Researchers and Elite Club,
Qazvin Branch,
e-mail: vahid.azimii@gmail.com
Qazvin Branch,
Islamic Azad University
,Qazvin
, Iran 3416616114
e-mail: vahid.azimii@gmail.com
Ahmad Fakharian
Department of Electrical and Computer Engineering,
e-mail: ahmad.fakharian@qiau.ac.ir
Islamic Azad University, Qazvin Branch
,Qazvin
, Iran 1478735564
e-mail: ahmad.fakharian@qiau.ac.ir
Mohammad Bagher Menhaj
Department of Electrical Engineering,
e-mail: Menhaj@aut.ac.ir
Amirkabir University of Technology
,Tehran
, Iran 3416616114
e-mail: Menhaj@aut.ac.ir
1Corresponding author.
Contributed by the Dynamic Systems Division of ASME for publication in the Journal of Dynamic Systems, Measurement, and Control. Manuscript received April 21, 2012; final manuscript received March 30, 2013; published online May 27, 2013. Assoc. Editor: Eugenio Schuster.
J. Dyn. Sys., Meas., Control. Sep 2013, 135(5): 051006 (11 pages)
Published Online: May 27, 2013
Article history
Received:
April 21, 2012
Revision Received:
March 30, 2013
Accepted:
April 10, 2013
Citation
Azimi, V., Fakharian, A., and Menhaj, M. B. (May 27, 2013). "Position and Current Control of an Interior Permanent-Magnet Synchronous Motor by Using Loop-Shaping Methodology: Blending of H∞ Mixed-Sensitivity Problem and T–S Fuzzy Model Scheme." ASME. J. Dyn. Sys., Meas., Control. September 2013; 135(5): 051006. https://doi.org/10.1115/1.4024200
Download citation file:
Get Email Alerts
Differential Flatness of Slider-Pusher Systems for Constrained Time Optimal Collision Free Path Planning
J. Dyn. Sys., Meas., Control
Hybrid Kinematic-dynamic Sideslip and Friction Estimation
J. Dyn. Sys., Meas., Control
Koopman Model Predictive Control of an Integrated Thermal Management System for Electric Vehicles
J. Dyn. Sys., Meas., Control
Discrete Robust Control of Robot Manipulators Using an Uncertainty and Disturbance Estimator
J. Dyn. Sys., Meas., Control (May 2023)
Related Articles
Switching Control With Learning for a Class of Systems
J. Dyn. Sys., Meas., Control (September,2003)
Desired Compensation Adaptive Robust Control
J. Dyn. Sys., Meas., Control (November,2009)
Adaptive Robust Control for Mirror-Stabilized Platform With Input Saturation
J. Dyn. Sys., Meas., Control (September,2018)
Robust Control of Uncertain Nonlinear Systems: A Nonlinear DOBC Approach
J. Dyn. Sys., Meas., Control (July,2016)
Related Proceedings Papers
Related Chapters
Adaptive Neural Controller for a Permanent Magnet DC Motor
Intelligent Engineering Systems through Artificial Neural Networks
QP Based Encoder Feedback Control
Robot Manipulator Redundancy Resolution
Effect of Skewing on Pulsating Torque and Radial Force Minimization in Brushless Permanent Magnet Motors
International Conference on Computer and Automation Engineering, 4th (ICCAE 2012)