控制理论(社会学)                        
                
                                
                        
                            职位(财务)                        
                
                                
                        
                            计算机科学                        
                
                                
                        
                            控制器(灌溉)                        
                
                                
                        
                            控制工程                        
                
                                
                        
                            沉浸式(数学)                        
                
                                
                        
                            人工智能                        
                
                                
                        
                            计算机视觉                        
                
                                
                        
                            工程类                        
                
                                
                        
                            控制(管理)                        
                
                                
                        
                            数学                        
                
                                
                        
                            财务                        
                
                                
                        
                            纯数学                        
                
                                
                        
                            农学                        
                
                                
                        
                            经济                        
                
                                
                        
                            生物                        
                
                        
                    
            作者
            
                Aarón López Luna,H. Rodríguez Cortés,Israel Cruz-Vega,José Martínez-Carranza            
         
                    
        
    
            
            标识
            
                                    DOI:10.1142/s2301385022410023
                                    
                                
                                 
         
        
                
            摘要
            
            For aerial manipulators, a steady flight must be guaranteed to perform safe interaction with the surrounding environment. This paper focuses on the development of a position control algorithm for an aerial manipulator system (AMS). The position control algorithm is based on the Immersion and Invariance (I&I) theory. The proposed controller maintains the position of the aerial manipulator at the desired point under external and internal disturbances. The control architecture uses a Visual-SLAM technique using on-board sensors for AMS positioning. A series of outdoor experimental tests are performed to demonstrate the effectiveness of the proposed control strategy.
         
            
 
                 
                
                    
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