The AN INTELLIGENT CONTROL TECHNIQUE ANALYSIS FOR SENSORLESS PREDICTIVE CURRENT CONTROLLED DC–DC CONVERTER

Abstract

For a sensorless predictive current controlled boost dc–dc converter, its small-signal model that contains a
number of parasitic parameters, is derived in this paper. This model indicates that the type of system
becomes type 0 even with the correction of voltage loop proportional–integral controller, leading to the
existence of output voltage steady-state error. Then a self-correction differential current observer (SDCO)
is proposed to eliminate this steady-state error and gain high transient response speed. The self-correction
part of the SDCO makes the system become type 1 to achieve no steady-state error for output voltage,
whereas the differential part can guarantee that the intermediate calculation results do not overflow. By
carrying out a series of simulation verifications, further investigation proves that the proposed algorithm
has good robustness. A digital current-mode controller for dc-dc converters is introduced.The current
control mode proposed current observer and PCC algorithm. It achieves the highest observation accuracy
by compensating for all the known parasitic parameter. By employing the optimal current observer-based
predictive current controller, a boost converter is implemented. The current-mode loop is sensorless,
relying on constants and internal loop states. Fast current-mode control mechanism is implemented. This
control scheme is that it facilitates the application of a low resolution PWM.