Reliability-Oriented Configuration Optimization of More Electrical Control Systems

Zirui Liao,Shaoping Wang,Rentong Chen,Dong Liu,Jian Shi

doi:10.3390/aerospace9020085

Abstract

More electrical vehicles adopt dissimilar redundant control systems with dissimilar power supplies and dissimilar actuators to achieve high reliability and safety, but this introduces more intricacy into the configuration design. Currently, it is difficult to identify the optimum configuration via the conventional trial-and-error approach within an acceptable timeframe. Hence, it is imperative to discover novel methods for the configuration design of more electrical vehicles. This paper introduced the design specification of more electric vehicles and investigated the contribution of different kinds of actuators, presenting a new multi-objective configuration optimization approach on the foundation of system reliability, weight, power, and cost. By adopting the non-dominated sorting genetic algorithm-II (NSGA-II), the Pareto optimization design set was obtained. Then, the analytic hierarchy process (AHP) was introduced to make a comprehensive decision on the schemes in the Pareto set and determine the optimal system configuration. Eventually, numerical results indicated that the reliability of our designed configuration increased by 5.89% and 55.34%, respectively, compared with dual redundancies and single redundancy configurations, which verified the effectiveness and practicability of the proposed method.

Highlights

With the rapid development of more electrical technologies, and more electric vehicles based on different power supply systems, actuation systems and computers have become increasingly common
The expression of a goal suggests that there are substantial that which ought to be identified in configuration designs
The results indicated that our approach combining multi-objective optimization and decision-making could realize the multi-objective optimization design of an more electric control system (MECS)

Summary

Introduction

Usually adopt redundant actuation systems to guarantee high reliability and safety [5]. In such designs, the rest systems can complete the work when one or more actuators fail. With the rapid development of more electrical technologies, and more electric vehicles based on different power supply systems, actuation systems and computers have become increasingly common. More electrical aircrafts are adopting heterogeneous actuation systems to move control surfaces based on HAs and EHAs [8]. Since HAs utilize hydraulic power supply systems while EHAs and EMAs adopt electrical power supply systems, the configuration design of more electric vehicles (MEVs) faces substantial challenges. The first one is how to design more electric control systems to maintain high mission reliability without permissive cost and weight. The second one is how to strike a balance between power supply systems and actuator distribution

Objectives

Methods

Findings

Conclusion