Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Di-fen Shi"'
Publikováno v:
IEEE Open Journal of Intelligent Transportation Systems, Vol 3, Pp 81-88 (2022)
In the field of ship-borne PMSM, there exists the sea wave fluctuations, external disturbances thus model uncertainties are always challenging the control design of ship-borne permanent magnet synchronous motors (PMSMs). To deal with this problem, a
Externí odkaz:
https://doaj.org/article/463d4fc7e62d495698e1c4aef8957585
Publikováno v:
Shock and Vibration, Vol 2021 (2021)
In this paper, a novel active disturbance rejection control (NADRC) with a super-twisting extended state observer (SESO) is utilized in the rocket launcher servo system. The main arguments in the shipborne rocket launcher system are control accuracy
Externí odkaz:
https://doaj.org/article/9116d7c0aba949d19613da8b58e34818
Fuzzy Wavelet Neural Network with the Improved Levenberg–Marquardt Algorithm for the AC Servo System
Publikováno v:
Complexity, Vol 2021 (2021)
In this study, a fuzzy wavelet neural network with the improved Levenberg–Marquardt algorithm (FWNN-LM) is proposed to conquer nonlinearity and uncertain disturbance problems in the AC servo system. First of all, use the particle swarm optimization
Externí odkaz:
https://doaj.org/article/5e3854bf89094618b517e3cef62a54bb
Publikováno v:
Shock and Vibration, Vol 2020 (2020)
Permanent magnet synchronous motors (PMSMs) have been widely applied in the shipborne rocket launcher systems due to their high torque density and high efficiency. However, since there are many external disturbances from the shipborne rocket launcher
Externí odkaz:
https://doaj.org/article/e5eed55c39664fe8969c9c15c365a352
Fuzzy Wavelet Neural Network with the Improved Levenberg–Marquardt Algorithm for the AC Servo System
Publikováno v:
Complexity, Vol 2021 (2021)
In this study, a fuzzy wavelet neural network with the improved Levenberg–Marquardt algorithm (FWNN-LM) is proposed to conquer nonlinearity and uncertain disturbance problems in the AC servo system. First of all, use the particle swarm optimization