| Title |
T-S Fuzzy Model-Based Energy-to-Peak Control of a Vehicle Longitudinal Control System Using a Complementary State Feedback Controller |
| Authors |
황영준(Young Jun Hwang) ; 석광훈(Kwanghoon Seok) ; 김한솔(Han Sol Kim) |
| DOI |
https://doi.org/10.5370/KIEE.2025.74.1.94 |
| Keywords |
Takagi-Sugeno (T-S); adaptive cruise control (ACC); linear matrix inequality (LMI); gain perturbation; energy-to-peak performance |
| Abstract |
This paper proposes a novel Takagi-Sugeno (T-S) fuzzy model-based state feedback controller design scheme that uses an auxiliary controller to improve the performance of the adaptive cruise control (ACC) system by employing the energy-to-peak control technique. In the proposed controller design scheme, the auxiliary control input is treated as a disturbance affecting the overall control input. Then, by limiting the norm of the auxiliary control input, the energy-to-peak control technique is applied to obtain the state feedback gain which guarantees the stabilization of the ACC system represented as a T-S fuzzy model. To find the controller gain, we propose linear matrix inequality (LMI)-based sufficient conditions to ensure both asymptotic stability and the energy-to-peak performance. Finally, we show that the steady-state error of the ACC control system can be improved by using the proposed control scheme from the simulation results. |