QFT Based Robust Positioning Control of the PMSM Using Automatic Loop Shaping with Teaching Learning Optimization
Automation of the robust control system synthesis for uncertain systems is of great practical interest. In this paper, the loop shaping step for synthesizing quantitative feedback theory (QFT) based controller for a two-phase permanent magnet stepper motor (PMSM) has been automated using teaching le...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2016-01-01
|
| Series: | Modelling and Simulation in Engineering |
| Online Access: | http://dx.doi.org/10.1155/2016/9837058 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832562234205667328 |
|---|---|
| author | Nitish Katal Shiv Narayan |
| author_facet | Nitish Katal Shiv Narayan |
| author_sort | Nitish Katal |
| collection | DOAJ |
| description | Automation of the robust control system synthesis for uncertain systems is of great practical interest. In this paper, the loop shaping step for synthesizing quantitative feedback theory (QFT) based controller for a two-phase permanent magnet stepper motor (PMSM) has been automated using teaching learning-based optimization (TLBO) algorithm. The QFT controller design problem has been posed as an optimization problem and TLBO algorithm has been used to minimize the proposed cost function. This facilitates designing low-order fixed-structure controller, eliminates the need of manual loop shaping step on the Nichols charts, and prevents the overdesign of the controller. A performance comparison of the designed controller has been made with the classical PID tuning method of Ziegler-Nichols and QFT controller tuned using other optimization algorithms. The simulation results show that the designed QFT controller using TLBO offers robust stability, disturbance rejection, and proper reference tracking over a range of PMSM’s parametric uncertainties as compared to the classical design techniques. |
| format | Article |
| id | doaj-art-02cc8cf9db6045bf82fe0c19399ab4a9 |
| institution | Kabale University |
| issn | 1687-5591 1687-5605 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Modelling and Simulation in Engineering |
| spelling | doaj-art-02cc8cf9db6045bf82fe0c19399ab4a92025-02-03T01:23:01ZengWileyModelling and Simulation in Engineering1687-55911687-56052016-01-01201610.1155/2016/98370589837058QFT Based Robust Positioning Control of the PMSM Using Automatic Loop Shaping with Teaching Learning OptimizationNitish Katal0Shiv Narayan1Electrical Engineering Department, PEC University of Technology, Chandigarh, IndiaElectrical Engineering Department, PEC University of Technology, Chandigarh, IndiaAutomation of the robust control system synthesis for uncertain systems is of great practical interest. In this paper, the loop shaping step for synthesizing quantitative feedback theory (QFT) based controller for a two-phase permanent magnet stepper motor (PMSM) has been automated using teaching learning-based optimization (TLBO) algorithm. The QFT controller design problem has been posed as an optimization problem and TLBO algorithm has been used to minimize the proposed cost function. This facilitates designing low-order fixed-structure controller, eliminates the need of manual loop shaping step on the Nichols charts, and prevents the overdesign of the controller. A performance comparison of the designed controller has been made with the classical PID tuning method of Ziegler-Nichols and QFT controller tuned using other optimization algorithms. The simulation results show that the designed QFT controller using TLBO offers robust stability, disturbance rejection, and proper reference tracking over a range of PMSM’s parametric uncertainties as compared to the classical design techniques.http://dx.doi.org/10.1155/2016/9837058 |
| spellingShingle | Nitish Katal Shiv Narayan QFT Based Robust Positioning Control of the PMSM Using Automatic Loop Shaping with Teaching Learning Optimization Modelling and Simulation in Engineering |
| title | QFT Based Robust Positioning Control of the PMSM Using Automatic Loop Shaping with Teaching Learning Optimization |
| title_full | QFT Based Robust Positioning Control of the PMSM Using Automatic Loop Shaping with Teaching Learning Optimization |
| title_fullStr | QFT Based Robust Positioning Control of the PMSM Using Automatic Loop Shaping with Teaching Learning Optimization |
| title_full_unstemmed | QFT Based Robust Positioning Control of the PMSM Using Automatic Loop Shaping with Teaching Learning Optimization |
| title_short | QFT Based Robust Positioning Control of the PMSM Using Automatic Loop Shaping with Teaching Learning Optimization |
| title_sort | qft based robust positioning control of the pmsm using automatic loop shaping with teaching learning optimization |
| url | http://dx.doi.org/10.1155/2016/9837058 |
| work_keys_str_mv | AT nitishkatal qftbasedrobustpositioningcontrolofthepmsmusingautomaticloopshapingwithteachinglearningoptimization AT shivnarayan qftbasedrobustpositioningcontrolofthepmsmusingautomaticloopshapingwithteachinglearningoptimization |