Name
Title | ||
|---|---|---|
Optimal Control Based Lqr-Feedback Linearisation For Magnetic Levitation Using Improved Spiral Dynamic Algorithm |
Abstract | ||
|---|---|---|
Magnetic Levitation (Maglev) system make significant contribution to industrial application due their reduce power consumption, increased power efficiency and reduced cost of maintenance. Common applications include Maglev power generation (e. g. wind turbine), Maglev trains and Medical Devices (e. g. magnetically suspended artificial heart pump). This paper proposes an optimal linear quadratic regulator using improved spiral dynamic algorithm to actively control a magnetic levitation system with full-state feedback linearisation. Simulation as are performed with nonlinear mathematical model of the magnetic levitation system, and the results show that the proposed linearisation and control strategy perform well. |
Year | Venue | Keywords |
|---|---|---|
2015 | 2015 20TH INTERNATIONAL CONFERENCE ON METHODS AND MODELS IN AUTOMATION AND ROBOTICS (MMAR) | magnetic levitation system, Linear quadratic regulator, Full state input-linearisation, Improved spiral dynamic algorithm |
Field | DocType | Citations |
Electrical efficiency,Reduced cost,Optimal control,Nonlinear system,Control theory,Computer science,Control engineering,Magnetic levitation,Vehicle dynamics,Linear-quadratic regulator,Maglev | Conference | 1 |
PageRank | References | Authors |
0.37 | 4 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| A. M. Benomair | 1 | 1 | 0.71 |
| F. A. Bashir | 2 | 1 | 0.37 |
| M. O. Tokhi | 3 | 104 | 18.94 |