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A Study on Robust Fault-tolerant Control for a Low-cost Target Tracking System
Thinh Huynh,Minh-Thien Tran,Dong-Hun Lee,Young-Bok Kim 제어로봇시스템학회 2021 제어로봇시스템학회 국제학술대회 논문집 Vol.2021 No.10
This paper presents a robust control system for a low-cost tracking system. As the controlled apparatus, a 2-axis gimbal is involved in a networked control system and an unreliable gyro sensor is used. Besides, external disturbances heavily affect the system performance. Thus, an unknown input observer is proposed to identify the sensor fault accurately even in the presence of the disturbances and time-varying delay of the networked system. Their influences are estimated subsequently. Then, a fault-tolerant controller is designed, using the observed fault and disturbances. The continuous control law is obtained based on the super-twisting algorithm, backstepping procedure, and integral sliding mode control technique. Finally, a simulation in a worst-case scenario validates the efficiency of the proposed control method. Compared to other control systems, the proposed controller has shown its superiority and reliability.
Thinh Huynh,Anh Tuan Pham,Jaehong Lee,Hung Nguyen-Xuan 한국정밀공학회 2024 International Journal of Precision Engineering and Vol.11 No.1
Fuel cell hybrid electric vehicles (FCHEVs) have been recognized as a promising solution for green and sustainable transportation. Unfortunately, the low performance and high operational cost make current FCHEVs less attractive than their alternatives. In this paper, we address a new contribution to the optimal design for the FCHEV components’ parameters in order to enhance their performance and reduce their operating cost. We consider a passenger FCHEV and propose a parametric design method for its polymer electrolyte membrane fuel cell system, lithium-ion battery, electric motor and differential unit by the balancing composite motion optimization (BCMO) algorithm. The FCHEV model can be used to analyze the influence of the parameters of each of the aforementioned components. The desired performance, the hydrogen consumption, the efficiency of the fuel cell system, and the lifespan of the power sources are all taken into account through a single cost function. The optimization procedure is introduced, where the fuel cell maximal net power, battery capacity and maximal power capacity, motor maximal power, and powertrain gear ratio are optimally designed. Finally, comparative studies are conducted and validate the effectiveness of the proposed method.