Redirigiendo al acceso original de articulo en 17 segundos...
ARTÍCULO
TITULO

Model Predictive Control of Counter-Rotating Motors for Underwater Vehicles Considering Unbalanced Load Variation

Shukuan Zhang    
Yunxiang Nan    
Yusen Zhang    
Chuan Xiang and Mai The Vu    

Resumen

The propulsion system for underwater vehicles, driven by a counter-rotating permanent magnet synchronous motor (CRPMSM), can enhance the operational stability and efficiency of the vehicle. Due to the influence of complex underwater flows, the load imbalance of CRPMSM?s dual counter-rotating rotors may lead to severe issues of dual-rotor desynchronization rotation. Combining traditional vector control (VC) with master-slave control strategies can address the desynchronization problem when CRPMSM?s load changes. However, it results in significant speed fluctuations and a long transition time during the transition from load disturbance to synchronous rotation. This paper introduces a model predictive control (MPC) strategy to effectively resolve this issue. The incremental MPC model is established based on the mathematical model of CRPMSM in the dq coordinate system. The predictive control system forecasts the d- and q-axis components of stator currents for the next four control cycles. It selects the optimal control increments to minimize the cost function based on current predictions and different inverter voltage states. The obtained optimal d- and q-axis components of stator voltage are used to control CRPMSM under unbalanced load disturbances. Simulation results demonstrate that, compared to the VC strategy, CRPMSM utilizing the MPC strategy exhibits better dynamic performance with faster speed response and reduced torque fluctuations during load and speed variations.

 Artículos similares

       
 
Yongyong Zhao, Jinghua Wang, Guohua Cao and Xu Yao    
This study introduces a reduced-order leg dynamic model to simplify the controller design and enhance robustness. The proposed multi-loop control scheme tackles tracking control issues in legged robots, including joint angle and contact-force regulation,... ver más
Revista: Applied Sciences

 
Lilai Jin, Sarah J. Higgins, James A. Thompson, Michael P. Strager, Sean E. Collins and Jason A. Hubbart    
Saturated hydraulic conductivity (Ksat) is a hydrologic flux parameter commonly used to determine water movement through the saturated soil zone. Understanding the influences of land-use-specific Ksat on the model estimation error of water balance compon... ver más
Revista: Water

 
Wenhao Li, Xianxia Zhang, Yueying Wang and Songbo Xie    
Model predictive control (MPC), an extensively developed rolling optimization control method, is widely utilized in the industrial field. While some researchers have incorporated predictive control into underactuated unmanned surface vehicles (USVs), mos... ver más

 
Sofía Ramos-Pulido, Neil Hernández-Gress and Gabriela Torres-Delgado    
Current research on the career satisfaction of graduates limits educational institutions in devising methods to attain high career satisfaction. Thus, this study aims to use data science models to understand and predict career satisfaction based on infor... ver más
Revista: Informatics

 
Dongkeun Lee, Chaeog Lim, Sang-jin Oh, Minjoon Kim, Jun Soo Park and Sung-chul Shin    
Capsizing accidents are regarded as marine accidents with a high rate of casualties per accident. Approximately 89% of all such accidents involve small ships (vessels with gross tonnage of less than 10 tons). Stability calculations are critical for asses... ver más