Year: 2017
Type: conference-paper
Abstract: In this study, we detail the procedures for designing preview gain scheduling controllers by Linear Quadratic H∞robust optimization methods in Linear Matrix Inequalities (LMI) framework. The controllers are aimed for steering control of autonomous vehicle. We first construct the Linear Parameter Varying (LPV) vehicle models and synthesize the robust controllers with uncertainty and nominal plants. We choose static output and state feedback controller structure to avoid higher order controllers considering implementation issues. The robust control problems are solved by using different LMI formulations and optimization weights with and without eigenvalue location constraints. The results are compared.
Source: Asian Control Conference (ASCC)
Authors: Ali Boyali, Vijay John, Zheming Lyu, Rathour Swarn, Seichi Mita
Institution: Toyota Technological Institute
Language: English
Subfield: Automotive Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2787078082