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Active Suspension Control Using an MPC-LQR-LPV Controller with Attraction Sets and Quadratic Stability Conditions
| Content Provider | MDPI |
|---|---|
| Author | Rodriguez-Guevara, Daniel Favela-Contreras, Antonio Beltran-Carbajal, Francisco Sotelo, David Sotelo, Carlos |
| Copyright Year | 2021 |
| Description | The control of an automotive suspension system by means of a hydraulic actuator is a complex nonlinear control problem. In this work, a linear parameter varying (LPV) model is proposed to reduce the complexity of the system while preserving the nonlinear behavior. In terms of control, a dual controller consisting of a model predictive control (MPC) and a Linear Quadratic Regulator (LQR) is implemented. To ensure stability, quadratic stability conditions are imposed in terms of Linear Matrix Inequalities (LMI). Simulation results for quarter-car model over several disturbances are tested in both frequency and time domain to show the effectiveness of the proposed algorithm. |
| Starting Page | 2533 |
| e-ISSN | 22277390 |
| DOI | 10.3390/math9202533 |
| Journal | Mathematics |
| Issue Number | 20 |
| Volume Number | 9 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-10-09 |
| Access Restriction | Open |
| Subject Keyword | Mathematics Industrial Engineering Active Suspension Model Predictive Control Linear Parameter Varying Ellipsoidal Set Attraction Sets Quadratic Stability |
| Content Type | Text |
| Resource Type | Article |
