Working Paper Article Version 1 This version is not peer-reviewed

A Novel T-S Fuzzy Robust Control for Part Transportation of Aircraft Carrier Considering Transportation Time and Stochastic Demand

Version 1 : Received: 14 April 2021 / Approved: 15 April 2021 / Online: 15 April 2021 (15:00:28 CEST)

How to cite: Luan, T.; Sun, M.; Hu, Z.; Fu, Q.; Wang, H. A Novel T-S Fuzzy Robust Control for Part Transportation of Aircraft Carrier Considering Transportation Time and Stochastic Demand. Preprints 2021, 2021040420 Luan, T.; Sun, M.; Hu, Z.; Fu, Q.; Wang, H. A Novel T-S Fuzzy Robust Control for Part Transportation of Aircraft Carrier Considering Transportation Time and Stochastic Demand. Preprints 2021, 2021040420

Abstract

The part transportation efficiency is a main factor of aircraft sortie generation rate. Part transportation is used to transport spare part from base to carrier. Transportation strategy depends on both demand on carrier and inventory in transportation base. The transportation time and stochastic demand will induce fluctuations of cost and inventory. Thus, a Takagi-Sugeno fuzzy system of dynamic part transportation is established considering transportation time and stochastic demand. And a novel Takagi-Sugeno fuzzy robust control is designed for dynamic part transportation, which will keep transportation cost and part inventory stable. First of all, a fuzzy model with stochastic demand and transportation time is proposed. Then, a novel robust control with cross rule groups is conducted according to production and transportation strategy, which will reduce fluctuations induced by strategies switch. Moreover, robust stability is guaranteed and part can be supplied in time under a low cost. Finally, simulation illustrates usefulness and quickness of the novel Takagi-Sugeno fuzzy robust control. Besides, the proposed method will be useful in other transportation electrification systems with delay time and uncertainty.

Subject Areas

part transportation; Takagi-Sugeno fuzzy control; carrier aircraft; transportation time; stochastic demand; cross rule group

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