Abstract
Power electronic converters find application in diverse fields due to their high power conversion efficiency. Converters are often characterized by time response specifications, robustness and stability. Conventionally, converters employ the classic PID controller. The state space average linear time invariant model of a boost converter is known to be a non-minimum phase system. This paper demonstrates that the boost converter with a PID controller using the Queen Bee assisted Genetic Algorithm (QBGA) optimization is not robust to plant parameter variations. A fractional order PID controller based on QBGA optimization proposed here is shown to have improved robustness. The controller proposed here is applicable across converters, viz., buck, boost and buck-boost, equally.
Highlights
P OWER electronic converters are popular in use due to their high efficiency
Design of controllers for converters are based on a simplified average linear time invariant (LTI) model even though the system is piece-wise linear [1]
The FOPID control parameters of (8) are obtained by solving on the following optimization problem using Queen Bee assisted Genetic Algorithm (QBGA): minimize subject to e2(t)dt
Summary
P OWER electronic converters are popular in use due to their high efficiency. Under plant parameter variations, closed loop controller design for converters with required regulation poses challenges. Control of boost converters using PID controller [3] performs well for input voltage and load changes; but not in the presence of plant parameter drifts. This is attributed to the nonminimum phase nature of the boost converter [4]. The considered plant is of non-minimum phase system and the performance of PID controller with respect to change in plant parameter is not satisfactory [4].
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