Evolutionary multi-objective optimization of H<inf>&#x221E;</inf> controller for inductive power transfer system

Abstract

Aiming at achieving robust control of an Inductive Power Transfer (IPT) system and based on an H ∞ loop-shaping algorithm, this paper proposes a multi-objective optimization framework to ensure an optimal performance. Three objectives and constraints related to the H ∞ loop-shaping design and singular structured value are defined to optimize the robust stability and robust performance. A time-domain objective, that is Integral of Time-weighted Squared Error (ITSE), is presented to achieve optimal transient response with low overshoot and zero steady-state error. Then an evolutionary multi-objective algorithm is presented as a computational method to search for a set of non-dominated H ∞ loop-shaping controllers automatically. Experimental results verify the optimality of the designed method. I.978-1-4799-5776-7/14/$31.00 ©2014 IEEE

H∞ loop-shaping of a multi-input dc-dc converter using weight function parameter optimization

“…Using this HILSD controller, the regulation of v o and i g2 control-loops are simulated using power electronic circuit simulator [26]. The MIDDC topology dynamic response of load voltage due to perturbation of HVS and LVS (i.e., V g1 : 36 V to 30 V, V g2 :12 V to 8 V) is simulated, and the respective load voltage regulation characteristics are shown in figure 11 and 12 respectively.…”

“…This procedure requires selection of pre-compensator 'W 1 ' parameters to get target singular values of frequency response of 'G s '. In most of the cases finding of pre-compensators are using trial and error method which consuming more time hence the feasible results cannot be assured [23][24][25][26][27][28]. If the weight function parameters selection is not chosen wisely the closed-loop controller may archives stability, leads but may not guarantee the desired dynamic performance.…”

“…Weight function parameter optimization of HILSD are reported in literature for a few mechanical systems and for a very few electrical systems. In case of mechanical systems, an objective function is formulated to maximize the stability margin of HILSD for a motion system [23][24][25][26][27][28]. This weight function optimization technique is used to improve damping characteristics of a mechanical system [25], and a multi-objective function is formulated to improve the overall characteristics of the power system [26], etc are reported recently.…”

“…In case of mechanical systems, an objective function is formulated to maximize the stability margin of HILSD for a motion system [23][24][25][26][27][28]. This weight function optimization technique is used to improve damping characteristics of a mechanical system [25], and a multi-objective function is formulated to improve the overall characteristics of the power system [26], etc are reported recently. In this paper, weight function parameter optimization is proposed to improve the closed-loop performance of MIDDC converter using HILSD.…”