控制理论(社会学)                        
                
                                
                        
                            稳健性(进化)                        
                
                                
                        
                            滑模控制                        
                
                                
                        
                            电压源                        
                
                                
                        
                            瞬态响应                        
                
                                
                        
                            控制器(灌溉)                        
                
                                
                        
                            计算机科学                        
                
                                
                        
                            电压                        
                
                                
                        
                            工程类                        
                
                                
                        
                            物理                        
                
                                
                        
                            控制(管理)                        
                
                                
                        
                            农学                        
                
                                
                        
                            生物化学                        
                
                                
                        
                            非线性系统                        
                
                                
                        
                            量子力学                        
                
                                
                        
                            人工智能                        
                
                                
                        
                            电气工程                        
                
                                
                        
                            化学                        
                
                                
                        
                            生物                        
                
                                
                        
                            基因                        
                
                        
                    
            作者
            
                Lijun Zheng,Fayang Jiang,Jiancheng Song,Yunguang Gao,Muqin Tian            
         
                    
        
    
            
            标识
            
                                    DOI:10.1109/jestpe.2017.2781701
                                    
                                
                                 
         
        
                
            摘要
            
            Voltage source inverters (VSIs), especially uninterrupted power supply for critical loads, require high steady-state performance, fast transient response, and strong robustness. However, it is difficult to achieve above requirements simultaneously by traditional control methods. A discrete-time repetitive sliding mode controller (DRSMC) with an exponential-based bi-power reaching law for three-phase VSIs is proposed, which combines the features of both the discrete-time sliding mode control (DSMC) and the repetitive control (RC) to achieve above requirements in VSIs. Furthermore, an exponential-based bi-power reaching law is proposed to further reduce the system chattering and improve the system dynamic response. The principle of equivalent control is adopted to integrate two methodologies and to facilitate the design and analysis of the proposed scheme. The discrete system equation of VSI is established. Voltage error and current error of capacitor are selected as the system state variables, and the DRSMC of VSI is designed with the proposed reaching law. Then RC is embedded into the forward error path of DSMC. The system equation of the DRSMC is deduced, the controller parameters are designed, and the system stability is analyzed. Finally, a 6-kW three-phase inverter setup is built to verify the effectiveness of the proposed method by comparing with DSMC and RC.
         
            
 
                 
                
                    
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