自动驾驶仪                        
                
                                
                        
                            无人地面车辆                        
                
                                
                        
                            实现(概率)                        
                
                                
                        
                            计算机科学                        
                
                                
                        
                            控制工程                        
                
                                
                        
                            控制理论(社会学)                        
                
                                
                        
                            方案(数学)                        
                
                                
                        
                            弹道                        
                
                                
                        
                            工程类                        
                
                                
                        
                            控制(管理)                        
                
                                
                        
                            人工智能                        
                
                                
                        
                            天文                        
                
                                
                        
                            数学                        
                
                                
                        
                            统计                        
                
                                
                        
                            物理                        
                
                                
                        
                            数学分析                        
                
                        
                    
            作者
            
                Weixuan Liu,Xunhong Lv,Chenhui Wan,Zhiwei Wang,Zehui Mao            
         
            
    
            
            标识
            
                                    DOI:10.1007/978-981-19-6613-2_351
                                    
                                
                                 
         
        
                
            摘要
            
            This paper studies the formation control problem of a heterogeneous multi-agent system (HMAS) consisting of an unmanned ground vehicle (UGV) and multiple unmanned aerial vehicles (UAV). A heterogeneous formation platform based on the open-source autopilot pixhawk (PX4) and QGroundControl ground station (QGC) consisting of a rover and two quadrotors is introduced. With UGV as the leader and UAV as the follower, a formation control scheme based on leader-follower is adopted. To achieve the desired formation configurations, a sliding mode control algorithm using combined reaching law is designed so that follower-quadrotors can track leader-rover quickly and stably. Finally, the effectiveness of the theoretical results is verified by indoor formation experiment.
         
            
 
                 
                
                    
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