2014
DOI: 10.1007/s00170-014-5735-5
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Optimal cascade hydraulic control for a parallel robot platform by PSO

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Cited by 75 publications
(17 citation statements)
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References 22 publications
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“…The control scheme proposed was based on linear matrix inequalities with its parameters tuned by PSO.Štimac et al [240] applied PSO to tune PID controller, using active magnetic bearing that suspended the rotating shaft and maintained it in levitated position by applying controlled electromagnetic forces on the rotor in radial and axial directions. Nedic et al [241] proposed a new cascade load force control design for a parallel robot platform. A parameter search based on PSO was suggested to effectively search the parameters of the cascade controller.…”
Section: Automatic Controlmentioning
confidence: 99%
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“…The control scheme proposed was based on linear matrix inequalities with its parameters tuned by PSO.Štimac et al [240] applied PSO to tune PID controller, using active magnetic bearing that suspended the rotating shaft and maintained it in levitated position by applying controlled electromagnetic forces on the rotor in radial and axial directions. Nedic et al [241] proposed a new cascade load force control design for a parallel robot platform. A parameter search based on PSO was suggested to effectively search the parameters of the cascade controller.…”
Section: Automatic Controlmentioning
confidence: 99%
“…Ganguly et al [221], Komsiyah [222], Feng et al [223], Pekşen et al [224], Yang et al [225], de Mendonça et al [226], Liu et al [227], Aich and Banerjee [228], Chou et al [229], Lee et al [230], Thakral and Bakhshi [231], Fister et al [232], Aghaei et al [233], Selakov et al [234], Shirvany et al [235], and Tungadio et al [236] Automatic control Cai and Yang [237], Kolomvatsos and Hadjieftymiades [238], Pandey et al [239],Štimac et al [240], Nedic et al [241], Chang and Chen [242], Xiang et al [243], Danapalasingam [244], Mahmoodabadi et al [245], Zhong et al [246], Perng et al [247], Huang and Li [248], and Nisha and Pillai [249] Communication Yousefi et al [250], Sun et al [251], Yongqiang et al [252], Chiu et al [253], Zubair and Moinuddin [255], Kim and Lee [256], Yazgan and Hakki Cavdar [257], Rabady and Ababneh [258], Das et al [259], Scott-Hayward and Garcia-Palacios [260], Omidvar and Mohammadi [261], and Kuila and Jana [262] Operations Liu and Wang…”
Section: Area Publication Electrical and Electronic Engineeringmentioning
confidence: 99%
“…In addition, machine learning techniques have emerged to integrate with RSS or CSI scheme to further optimize spoofing detection performance [13,14,15,16]. In complex dynamic communication models, i.e., the hydraulic systems inspired communication models [17], the optimal solutions can be obtained by using metaheuristic algorithms [18,19].…”
Section: Many Location Spoofing Detection or Robust Localization Algomentioning
confidence: 99%
“…They are a function of the design pressure in the system (P des ), diameter of the piston (D piston ) and the yield point strength of the material (σ yp ) [58]. The design pressure is a summation of the pressure in the section of the system and the pressure developed in the cylinder [59,60]. More so, the force required by the piston rod of the cylinders (F pe ) to push the external loads is obtained from the crushing stress of the piston rod material (σ c ), the free bucking length (L fb ) and the area of the piston rod (A pr ) as presented in Eq.…”
Section: Mesh Diagram Displacement Diagram Stress Diagrammentioning
confidence: 99%