Multi-Objective Vector Control of a Three-Phase Vibratory Energy Harvester

TL;DR

This paper explores optimal control strategies for three-phase vibratory energy harvesters, balancing energy maximization and over-voltage mitigation through vector control and optimization techniques.

Contribution

It introduces a methodology to balance field weakening and quadrature current optimization for improved energy harvesting efficiency.

Findings

Tradeoff analysis between over-voltage control and power output.

Optimization framework for balancing control objectives.

Guidelines for selecting control parameters for maximum power.

Abstract

In vibration energy harvesting technologies, feedback control is required to maximize the average power generated from stochastic disturbances. In large-scale applications it is often advantageous to use three-phase conversion technologies for transduction. In such situations, vector control techniques can be used to optimally control the transducer currents in the direct-quadrature reference frame, as dynamic functions of feedback measurements. In this paradigm, converted energy is optimally controlled via the quadrature current. The direct current is only used to maintain control of the quadrature current when the machine's internal back-EMF exceeds the voltage of the power bus, a technique called field weakening. Due to increased dissipation in the stator coil, the use of field weakening results in a reduction in power conversion, relative to what would theoretically be possible with a larger bus voltage. This over-voltage issue can be alternatively addressed by imposing a competing objective in the optimization of the quadrature current controller, such that the frequency and duration of these over-voltage events are reduced. However, this also results in reduced generated power, due to the need to satisfy the competing constraint. This paper examines the tradeoff between these two approaches to over-voltage compensation, and illustrates a methodology for determining the optimum balance between the two approaches.