Field programmable gate array implementation of a single‐input fuzzy proportional–integral–derivative controller for DC–DC buck converters

Abstract

The design and field programmable gate array implementation of a single-input fuzzy (SIF) proportionalintegral-derivative (PID) control scheme applied to DC-DC buck converters are presented. The SIF logic reduces the number of fuzzy rules and therefore the hardware resource occupancy without control property degradation compared with the double-input fuzzy (DIF) controller, which is realised by transforming the two-dimension rule tables into onedimension rule vectors using signed distance method and genetic algorithm. The adopted signed distance method requires the two-dimension rule tables to be of Toeplitz structure, which is realised by establishing the inference rules through analysing the system response curve. The fuzzy logic regulates the PID parameters based on the conditions of the power converters. As a result, the SIF-PID controller is superior to the conventional PID controller and is similar to DIF-PID controller in terms of the control performance. The proposed controller has been validated with simulation and experimental results.

Time‐optimal control of DC‐DC buck converter using single‐input fuzzy augmented fractional‐order PI controller

“…The genetic and iterative algorithms are widely favored for optimizing the structure of PI controllers as well as the SIFLC schemes. 24,27 However, their implementation is computationally expensive due the crossover, decoding, and encoding of the candidate solutions. 32 Recently, the particle swarm optimization (PSO) algorithm has gained a lot of popularity in optimizing the control schemes of powerconversion systems.…”

“…A plethora of computational and metaheuristic optimization algorithms have been proposed in the literature for the selection of global‐best parameter values. The genetic and iterative algorithms are widely favored for optimizing the structure of PI controllers as well as the SIFLC schemes . However, their implementation is computationally expensive due the crossover, decoding, and encoding of the candidate solutions .…”

Robust PID Controllers Optimized by PSO Algorithm for Power Converters

“…Other paradigm is the PID gain variable controllers. In this direction, one can cite, for instance, for output voltage control of buck and boost converters, the works [10], [20], [21], that use adaptive or fuzzy method for PID control. Note that adaptive or fuzzy controllers are best indicated in the scenario of unpredictable changes in system dynamics.…”

Control of a DC-DC Buck Converter through Contraction Techniques

“…The underlying topology of the buck converter is non-smooth, meaning that it switches back and forth according to a control signal, between an ON and OFF state, to guarantee a required output voltage. Some examples of control techniques applied to the buck converter include zero voltage control technique [20], fractional derivative control [21], controller based on active ramp tracking [22], and fuzzy PID controllers [23].…”