Abstract
A new polynomial systems method is defined for the restricted structure nonlinear predictive controllers design. The control algorithm is established for a discrete-time nonlinear system, described in the polynomial matrix linear parameter varying form. The low-order restricted structure controller is parameterized in terms of discrete transfer operators set that the designer chooses multiplied by a set of optimized gains. The controller within the feedback loop can have a general linear parameter varying form or something as simple as a PI structure. The predictive control multi-step cost-index, which is minimized, comprises weighted error, control signal costing, and gain magnitude terms. A simulation of an automotive example is used to evaluate the nonlinear restricted structure controller performance.
| Original language | English |
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| Number of pages | 7 |
| Publication status | Published - 14 Jul 2021 |
| Event | 7th IFAC Conference on Nonlinear Model Predictive Control - Bratislava, Slovakia Duration: 11 Jul 2021 → 14 Jul 2021 https://www.nmpc2021.org/ |
Conference
| Conference | 7th IFAC Conference on Nonlinear Model Predictive Control |
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| Abbreviated title | NMPC 2021 |
| Country/Territory | Slovakia |
| City | Bratislava |
| Period | 11/07/21 → 14/07/21 |
| Internet address |
Keywords
- polynomial methods
- nonlinear predictive controller
- linear parameter-varying systems