scholarly journals LS-SVM Based Modeling and Model Predictive Control for a Water-Hydraulic Artificial Muscle Actuator

2020 ◽  
Vol 13 (3) ◽  
pp. 114-121
Author(s):  
Yuta KAWAHARA ◽  
Takahiro KOSAKI ◽  
Shigang LI
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Artificial Muscle ◽  
Water Hydraulic

Switching model predictive control of a pneumatic artificial muscle

2013 ◽  
Vol 11 (6) ◽  
pp. 1223-1231 ◽  
Author(s):  
George Andrikopoulos ◽  
George Nikolakopoulos ◽  
Ioannis Arvanitakis ◽  
Stamatis Manesis
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Artificial Muscle ◽  
Pneumatic Artificial Muscle ◽  
Switching Model

Hybrid Model Predictive Control of Floating Offshore Wind Turbines with Artificial Muscle Actuated Mooring Lines

2022 ◽  
Author(s):  
Zhongyou Wu ◽  
Yaoyu Li
Keyword(s):  
Model Predictive Control ◽  
Hybrid Model ◽  
Predictive Control ◽  
Wind Turbines ◽  
Artificial Muscle ◽  
Offshore Wind ◽  
Half Cycle ◽  
Platform Motion ◽  
Offshore Wind Turbines ◽  
Floating Offshore Wind Turbines

Abstract Floating offshore wind turbines (FOWTs) are subject to undesirable platform motion and significant increase in fatigue loads compared to their onshore counterparts. We have recently proposed using the Fishing Line Artificial Muscle (FLAM) actuators to realize active mooring line force control (AMLFC) for platform stabilization and thus load reduction, which features compact design and no need for turbine redesign. However, as for the thermally activated FLAM actuators, a major control challenge lies in the asymmetric dynamics for the heating and the cooling half cycle of operation. In this paper, for a tension-leg platform (TLP) based FOWT with FLAM actuator based AMLFC, a hybrid dynamic model is obtained with platform pitch and roll degrees of freedom included. Then a hybrid model predictive control (HMPC) strategy is proposed for platform motion stabilization, with preview information on incoming wind and wave. A move blocking scheme is used to achieve reasonable computational efficiency. FAST based simulation study is performed using the NREL 5 MW wind turbine model. Under different combinations of wind speed, wave height and wind directions, simulation results show that the proposed control strategy can significantly reduce the platform roll and tower-base side-to-side bending moment, with mild level of actuator power consumption.

Wide-area Power System Oscillation Damping using Model Predictive Control Technique

2011 ◽  
Vol 131 (7) ◽  
pp. 536-541 ◽  
Author(s):  
Tarek Hassan Mohamed ◽  
Abdel-Moamen Mohammed Abdel-Rahim ◽  
Ahmed Abd-Eltawwab Hassan ◽  
Takashi Hiyama
Keyword(s):  
Model Predictive Control ◽  
Power System ◽  
Predictive Control ◽  
Wide Area ◽  
Control Technique ◽  
Oscillation Damping
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