Aero-Engine Adaptive Fuzzy Decoupling Control

Ren, Xinyu; Fan, Songtao

doi:10.1007/0-387-29295-0_2

Cited by 2 publications

(2 citation statements)

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“…Paper [9] designed a unique fuzzy self-tuning disturbance decoupling controller for a serial-parallel hybrid humanoid arm to complete the throwing trajectory-tracking mission. Paper [10] proposed a self-learning fuzzy decoupling controller. This method can online generate and modify the fuzzy rules through the method of self-learning.…”

Section: Introductionmentioning

confidence: 99%

Research on Coordinated Robotic Motion Control Based on Fuzzy Decoupling Method in Fluidic Environments

Zhang

Chen

et al. 2014

Mathematical Problems in Engineering

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The underwater recovery of autonomous underwater vehicles (AUV) is a process of 6-DOF motion control, which is related to characteristics with strong nonlinearity and coupling. In the recovery mission, the vehicle requires high level control accuracy. Considering an AUV called BSAV, this paper established a kinetic model to describe the motion of AUV in the horizontal plane, which consisted of nonlinear equations. On the basis of this model, the main coupling variables were analyzed during recovery. Aiming at the strong coupling problem between the heading control and sway motion, we designed a decoupling compensator based on the fuzzy theory and the decoupling theory. We analyzed to the rules of fuzzy compensation, the input and output membership functions of fuzzy compensator, through compose operation and clear operation of fuzzy reasoning, and obtained decoupling compensation quantity. Simulation results show that the fuzzy decoupling controller effectively reduces the overshoot of the system, and improves the control precision. Through the water tank experiments and analysis of experimental data, the effectiveness and feasibility of AUV recovery movement coordinated control based on fuzzy decoupling method are validated successful, and show that the fuzzy decoupling control method has a high practical value in the recovery mission.

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Section: Introductionmentioning

confidence: 99%

Research on Coordinated Robotic Motion Control Based on Fuzzy Decoupling Method in Fluidic Environments

Zhang

Chen

et al. 2014

Mathematical Problems in Engineering

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show abstract

“…El problema de desacoplamiento ha sido abordado desde diferentes enfoques: lineal (Orozco et al, 2012;Wang, 2003), difuso (AL-Niami y Mehdi,1993;Wang et al, 2011), adaptativo (Ren y Fan, 2005), entre otros. Estas soluciones están basadas en un modelo matemático del sistema a desacoplar, es decir, se tienen que conocer las ecuaciones dinámicas que aproximen, en la medida de lo posible, el comportamiento real del sistema.…”

Section: Introductionunclassified

Solución al problema de desacoplamiento mediante un controlador proporcional difuso de un sistema regular de riego con tuberías en paralelo

Delgado-Aguiñaga¹,

Orozco-Mora²,

Ruiz-Beltrán³

2013

Ingeniería, Investigación y Tecnología

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Aero-Engine Adaptive Fuzzy Decoupling Control

Cited by 2 publications

References 5 publications

Research on Coordinated Robotic Motion Control Based on Fuzzy Decoupling Method in Fluidic Environments

Research on Coordinated Robotic Motion Control Based on Fuzzy Decoupling Method in Fluidic Environments

Solución al problema de desacoplamiento mediante un controlador proporcional difuso de un sistema regular de riego con tuberías en paralelo

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