A Fuzzy Indrect Adaptive Robust Control for Upper Extremity Exoskeleton Driven by Pneumatic Artificial Muscle

Dan, Siyuan; Cheng, Haoshu; Zhang, Yong; Líu, Hao

doi:10.1109/icma54519.2022.9856383

Cited by 1 publication

(1 citation statement)

References 24 publications

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“…Additionally, Van Kien carried out research on a two-degree-of-freedom pneumatic artificial muscle system [72] with the help of a complex multilayer Takagi-Sugeno fuzzy model and a differential evolution algorithm. Moreover, Robinson et al [73] designed a fuzzy controller for the artificial pneumatic muscles of a heavy-lift manipulator, Al-Mosawi et al [74] proposed an adaptive parallel fuzzy-PI controller for an analogous system, Dan et al [75] designed a fuzzy indirect adaptive controller for a pneumatic muscle-driven exoskeleton, while Chen et al [76] presented a disturbance-observer-based Takagi-Sugeno fuzzy controller. Parameters of fuzzy logic controllers designed for pneumatic artificial muscles are summarized in Table 5.…”

Section: Pneumatic Proportional Valves and Servo Valvesmentioning

confidence: 99%

A Review of Fuzzy Logic Method Development in Hydraulic and Pneumatic Systems

Filo

2023

Energies

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Fuzzy logic has been developed since the 1960s. Research related to fuzzy logic application in hydraulics and pneumatics is mainly aimed at energy demand reduction and improvement in operational characteristics. This article summarizes the recent achievements in hydraulic and pneumatic fuzzy logic system design. First, the main application areas have been identified, including control and fault diagnosis. The control systems were additionally grouped according to the main objects of study, such as pumps, actuators, proportional valves, etc. Then, the results of the recent research were presented, and the main features of the designed fuzzy logic units were summarized for each group. Particular attention was paid to types of membership functions used for fuzzification and defuzzification, numbers of fuzzy sets defined for input and output signals, types of fuzzy operators, the applied inference algorithm and the defuzzification method. Based on the analysis of the listed parameters, conclusions were formulated regarding advantages, main issues and difficulties, as well as recommended directions for further development.

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Section: Pneumatic Proportional Valves and Servo Valvesmentioning

confidence: 99%

A Review of Fuzzy Logic Method Development in Hydraulic and Pneumatic Systems

Filo

2023

Energies

View full text Add to dashboard Cite

show abstract

A Fuzzy Indrect Adaptive Robust Control for Upper Extremity Exoskeleton Driven by Pneumatic Artificial Muscle

Cited by 1 publication

References 24 publications

A Review of Fuzzy Logic Method Development in Hydraulic and Pneumatic Systems

A Review of Fuzzy Logic Method Development in Hydraulic and Pneumatic Systems

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