Title : 
Unconstant Frequency Dual Integrator Control and its Application to Switch Converters
         
        
            Author : 
Li, Cheng ; Yang, Bo
         
        
            Author_Institution : 
Dept. of Electr. & Electron. Eng., Huazhong Univ. of Sci. & Technol., Wuhan
         
        
        
        
        
        
            Abstract : 
In this paper, a new large-signal nonlinear control technique, called unconstant frequency dual integrator control - UFDI control, is proposed to control the duty-ratio dk and cycle Tk of a switch such that in each integration cycle Tk the impulse value of a switched output variable is exactly equal to or proportional to the control reference in the steady-state or in a transient. UFDI control rejects power source perturbations within one integration cycle Tk; the switched output variable exactly follows the dynamic reference in one integration cycle; and there is no steady-state error nor dynamic error between the switched output variable and the reference in one integration cycle. UFDI control appears a very good tracking performance. Simulations with UFDI control of a single-phase bridge inverter have demonstrated the new control method and verified the theoretical predictions. This new control method is general and applicable to all types of pulse-width-modulated, or converters for either voltage or current control in continuous or discontinuous conduction mode
         
        
            Keywords : 
integrating circuits; invertors; nonlinear control systems; switching convertors; UFDI control; duty-ratio control; large-signal nonlinear control technique; single-phase bridge inverter; switch converters; unconstant frequency dual integrator control; Bridge circuits; Error correction; Frequency conversion; Predictive models; Proportional control; Pulse width modulation inverters; Steady-state; Switches; Switching converters; Voltage control; Nonlinear control; Signal tracking; Switch circuit; Unconstant frequency Dual Integrator Control;
         
        
        
        
            Conference_Titel : 
Machine Learning and Cybernetics, 2006 International Conference on
         
        
            Conference_Location : 
Dalian, China
         
        
            Print_ISBN : 
1-4244-0061-9
         
        
        
            DOI : 
10.1109/ICMLC.2006.258421