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- 저자 : Yuhu Wu (검색결과 2 건)
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LOGICAL CONTROL APPROACH TO FUEL EFFICIENCY OPTIMIZATION FOR COMMUTING VEHICLES
Mingxin Kang,Yuhu Wu,Tielong Shen 한국자동차공학회 2017 International journal of automotive technology Vol.18 No.3
A novel gearshift control approach for improving the fuel efficiency of the conventional commuting vehicles is addressed in this paper, where the optimization problem for gear control is formulated in the framework of stochastic logical dynamic system. By extracting the stochastic features of the driver acceleration intention in the specific route, the Markov process model is deduced and then applied for the optimization algorithm. Based on the logical system framework, the finite horizon optimization problem is solved by means of the algebraic expression of the dynamic programming algorithm with a lower computational complexity, thereby resulting in an optimal gearshift decision law in statistical sense. The software simulation and engine-in-the-loop based experiment results demonstrate the better fuel economy performance can be achieved by the proposed logic control scheme.
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Nonlinear Cascade Control for a New Coaxial Tilt-rotor UAV
Shengming Li,Lin Feng,Zongyang Lv,Yuhu Wu,Yingshun Li 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.9
This paper proposes a nonlinear control strategy for a newly-designed coaxial tilt-rotor (CTR) unmanned aerial vehicle (UAV), which is a special class of tilt-rotor (TR) UAVs with two pairs of coaxial rotors, two servos, and a rear rotor. The CTRUAV is an underactuated system, and the controller is designed in cascade form. The proposed controller includes two sub-controllers: an inner-loop attitude controller and an outer-loop velocity controller. Each sub-controller is proposed by using a backstepping-like feedback linearization method to control and stabilize the CTRUAV. The developed control strategy can realize the motion control for the CTRUAV. The asymptotic stability of the resulting closed-loop system is analyzed by the Lyapunov method. Finally, simulations and real flight tests are performed to validate the effectiveness of the proposed control system.
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