Abstract
One type of DC-DC converters is dual transistor forward converter. In this article, a low-cost architecture of a digital controller for dual transistor forward converter is presented. This architecture is designed by using the finite set model predictive control technique. Based on this approach, a low-cost fixed-point arithmetic architecture with minimum functional units is presented to find the optimum switching time at each sampling point. Charge balance control method is utilized to improve the dynamic performance of the transient response. The proposed architecture is implemented and realized by using a field-programmable gate array (FPGA) platform to evaluate the precision of the fixed-point calculation. Several cases for different loading conditions for different word lengths are practically investigated and the proposed digital controller shows a minimum voltage overshoot--undershoot and short settling time under load-changing situations. Compared with other controllers, the presented work provides a better dynamic performance and lower implementation cost.
Highlights
In recent years, the control of power switching converters has been widely studied and new algorithms are introduced
Several cases are considered for load current conditions and in every case, different word lengths with several integers and fraction parts are checked
One bit is rated as a sign bit
Summary
The control of power switching converters has been widely studied and new algorithms are introduced. In the analog implementation of controllers, many control algorithms have been introduced to modify dynamic response of converters [5,6,7,8]. Transient performance is modified in [5] by using load current feedforward compensation. In [6,7], by employing hysteretic current mode controllers, a quick dynamic performance of the system is presented, where the ordinary feedback compensation network is deleted. Presented algorithms are capable of achieving the optimum performance in terms of minimum undershoot–overshoot and transient time, generally, due to complex mathematical computations requirements, hardware or embedded system realization of the algorithms is challenging. The benefits of digital control in comparison with analog control are programmability, easiness of intricate arithmetic, and reliability [9]
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