Experimental Design of an Adaptive LQG Controller for Battery Charger/Dischargers Featuring Low Computational Requirements

The growing use of DC/DC power converters has resulted in the requirement that their complex controllers be cheaper and smaller, thus using cost-effective implementations. For this purpose, it is necessary to decrease computational burden controller implementation minimize hardware requirements. This manuscript presents two methods for tuning an adaptive linear–quadratic–Gaussian voltage a battery charger/discharger, implemented with Sepic/Zeta converter, work at any operating point. first method based on lookup table select, nearest method, both state feedback vector observer gain vector, solving Riccati’s differential equation offline each practical second defines polynomial function element previous data corresponding system points. adaptability fixed regulation reference tracking was validated simulations experimental tests. overshoot settling time results were lower than 11% 3.7 ms, which are same orders magnitude control approach equations solved online. Likewise, three indices evaluated: central processing unit capacity, cost, performance. evaluation confirms interpolation best option examined due satisfactory balance between dynamic performance cost. Despite advantages being interpolation, benefit not requiring training campaign; however, cost saving obtained controllers, possible small-size microcontrollers development tool simple easy maintenance, will surely desirable large number deployed units, ensuring those solutions highly cost-effective.