推力                        
                
                                
                        
                            航空航天工程                        
                
                                
                        
                            水下                        
                
                                
                        
                            航空学                        
                
                                
                        
                            控制(管理)                        
                
                                
                        
                            海洋工程                        
                
                                
                        
                            计算机科学                        
                
                                
                        
                            汽车工程                        
                
                                
                        
                            工程类                        
                
                                
                        
                            地质学                        
                
                                
                        
                            人工智能                        
                
                                
                        
                            海洋学                        
                
                        
                    
            作者
            
                Liping Deng,Jianguo Tao            
         
                    
            出处
            
                                    期刊:Mathematics
                                                         [Multidisciplinary Digital Publishing Institute]
                                                        日期:2025-05-26
                                                        卷期号:13 (11): 1766-1766
                                                        被引量:1
                                 
         
        
    
            
        
                
            摘要
            
            This paper presents a fault-tolerant thruster configuration scheme and a thrust control allocation strategy for an underwater vehicle. First, to accommodate the vehicle’s flexible spatial motion capabilities and address potential thruster failures, an 8-thruster vector arrangement is designed, and the impact of thruster failures on vehicle maneuverability is analyzed. Based on this configuration, a mathematical model of the vector propulsion system is then developed, establishing the relationship between the thrust generated by the individual thrusters and the virtual control forces applied to the vehicle’s 6 degrees of freedom (DOF). Subsequently, a thrust allocation strategy based on quadratic programming (QP) is proposed to optimize thrust allocation, enhancing energy efficiency while satisfying thrust saturation constraints. Finally, simulation results demonstrate that the proposed thruster configuration exhibits strong fault-tolerance. Moreover, compared to the least squares (LS) method based on the pseudo-inverse of the configuration matrix, the QP-based thrust allocation strategy achieves significantly better energy-saving performance.
         
            
 
                 
                
                    
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