Zobrazeno 1 - 10
of 291
pro vyhledávání: '"Itsuro KAJIWARA"'
Autor:
Yoshifusa ITO, Masaki HIRATA, Heisei YONEZAWA, Shota SATO, Takashi HATANO, Chiaki NISHIDOME, Itsuro KAJIWARA
Publikováno v:
Nihon Kikai Gakkai ronbunshu, Vol 90, Iss 936, Pp 24-00011-24-00011 (2024)
In this paper, we propose a vibration suppression method that takes fuel cutoff into account for an automobile powertrain during rapid acceleration and investigate its effectiveness. An automobile powertrain transmits engine torque to the tires, whic
Externí odkaz:
https://doaj.org/article/50d338d06522420fb247ad401bfb8626
Autor:
Shuichi Yahagi, Itsuro Kajiwara
Publikováno v:
IEEE Access, Vol 12, Pp 147882-147893 (2024)
This paper presents a one-shot data-driven design method for obtaining parameters of both a feedback controller and a reference model, which achieve a fast response while satisfying the user-defined model-matching error, using only single-experiment
Externí odkaz:
https://doaj.org/article/5ab4f420dbeb4b89b1bf501ed749bec4
Publikováno v:
IEEE Access, Vol 12, Pp 11972-11986 (2024)
To ensure comfort and longevity of vehicle components, it is important to suppress low-frequency transient vibrations in the powertrain. This study proposes a unique technique for active vibration control that incorporates six rules-based fuzzy logic
Externí odkaz:
https://doaj.org/article/1778ea7fce7d4ee6b91187efab0980c4
Publikováno v:
IEEE Access, Vol 11, Pp 93935-93947 (2023)
For enhancement of the drivability and lifetime of the components, reduction in vehicle driveline oscillations has been addressed by advanced active control algorithms. However, most of the existing works involve subjective determination of their cri
Externí odkaz:
https://doaj.org/article/9e5a5875bd224a3696c8fdf3e7706b11
Autor:
Shuichi Yahagi, Itsuro Kajiwara
Publikováno v:
IEEE Access, Vol 11, Pp 55883-55894 (2023)
This paper proposes a noniterative direct data-driven gain-scheduled control. Gain-scheduled proportional–integral–derivative (PID) control is one of the most popular approaches for nonlinear systems. However, compared to fixed PID, gain-schedule
Externí odkaz:
https://doaj.org/article/a7f8cbe1dd284dc8b0c54aeef57bde77
Publikováno v:
IEEE Access, Vol 10, Pp 120475-120491 (2022)
Data-driven control design is a method to create and tune controllers directly from the initial experimental data without a mathematical model to be controlled. Tracking and disturbance suppression are necessary to control real systems. A two-degree-
Externí odkaz:
https://doaj.org/article/0bfe833be03a459187e34546c7bf6dee
Autor:
Shuichi Yahagi, Itsuro Kajiwara
Publikováno v:
IEEE Access, Vol 10, Pp 72773-72784 (2022)
In this paper, we present a data-driven tuning method for model-free control based on an ultra-local model (MFC-ULM), which is also called intelligent proportional-integral-derivative control. In industries, the control design must be easy, and it is
Externí odkaz:
https://doaj.org/article/00f8ae853478412bac32e134a505edb4
Publikováno v:
Mathematics, Vol 11, Iss 10, p 2259 (2023)
Dual-ball-screw feed drive systems (DBSFDSs) are designed for most high-end manufacturing equipment. However, the mismatch between the dynamic characteristic parameters (e.g., stiffness and inertia) and the P-PI cascade control method reduces the acc
Externí odkaz:
https://doaj.org/article/84df7e9d0c864fa8aa34e9d2849dc9af
Publikováno v:
IEEE Access, Vol 9, Pp 4351-4363 (2021)
This study proposes an active vibration control method with a simple design process without using a plant model. The proposed method is robust against the actuator's parameter uncertainty. To realize model-free control of the controlled object, a vir
Externí odkaz:
https://doaj.org/article/56e4290059cf4945954da9ea22a64317
Autor:
Heisei Yonezawa, Itsuro Kajiwara, Shota Sato, Chiaki Nishidome, Takashi Hatano, Shigeki Hiramatsu
Publikováno v:
IEEE Access, Vol 9, Pp 12002-12018 (2021)
The physical function model has been effectively used for model-based development (MBD) of automobile systems. This research demonstrates a novel application of this modeling method to the state estimation of nonlinear mechanical systems based on the
Externí odkaz:
https://doaj.org/article/171eb9079afb44c49c9283ff68327242