Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Sesun You"'
Publikováno v:
IEEE Access, Vol 11, Pp 2743-2753 (2023)
This paper proposes a gradient-descent-based learning (GL) gain for backstepping controller and disturbance observer (DOB) of nonlinear system. The proposed method consists of the GL gain update law, controller, and DOB. The GL gain update law is pro
Externí odkaz:
https://doaj.org/article/9855ea5bcc224d08b7ea3573b90dfa8f
Publikováno v:
IEEE Access, Vol 9, Pp 142060-142070 (2021)
This paper proposes a super twisting-based nonlinear gain sliding mode controller (STNGSMC) to achieve the position control of permanent-magnet synchronous motors (PMSMs). Nonlinear gain is developed to improve the position tracking performance of a
Externí odkaz:
https://doaj.org/article/747d13bfa70444188b420bb108fd5771
Publikováno v:
IEEE Access, Vol 8, Pp 174558-174567 (2020)
We propose an extended-state-observer (ESO)-based robust position tracking control method using nonlinear damping gain to improve the control performance under external disturbances and parameter uncertainties for quadrotors. The proposed method cons
Externí odkaz:
https://doaj.org/article/6a9a4b3559d3448496eb62db6a6e09ea
Publikováno v:
Actuators, Vol 10, Iss 12, p 319 (2021)
A cascade proportional integral control method with back-electro motive force compensation has been widely used for permanent magnet synchronous motors. In the permanent magnet synchronous motor control, it is important to accurately know the back-el
Externí odkaz:
https://doaj.org/article/def04c46a43b423ab71b88787334504f
Publikováno v:
Mathematics, Vol 9, Iss 21, p 2745 (2021)
This paper proposes a robust tracking control method for swing-up and stabilization of a rotational inverted pendulum system by applying equivalent input disturbance (EID) rejection. The mathematical model of the system was developed by using a Lagra
Externí odkaz:
https://doaj.org/article/6e955d9c65ff4274a0716131522b3a55
Autor:
Sesun You, Wonhee Kim
Publikováno v:
IEEE Transactions on Control Systems Technology. 31:1427-1434
Publikováno v:
IEEE Transactions on Industrial Electronics. 70:5161-5170
Publikováno v:
IEEE Transactions on Cybernetics. 53:1392-1404
In this study, an adaptive neural network (NN) control using nonlinear information (NI) gain for permanent magnet synchronous motors (PMSMs) is proposed to improve control and estimation performance. The proposed method consists of a nonlinear contro
Publikováno v:
IEEE Transactions on Industrial Informatics. :1-11
Robust Nonlinear Torque Control Using Steering Wheel Torque Model for Electric Power Steering System
Publikováno v:
IEEE Transactions on Vehicular Technology. :1-7