Propulsion control of aerial vehicle using online control allocation approach

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Date

2020

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COMSATS University Islamabad Lahore Campus

Abstract

Propulsion Control of Aerial Vehicle using On-Line Control Allocation Approach Control Allocation (CA) is one of the reconfiguration approaches to manage actuator redundancy in over actuated systems in an effective way, so that the fault tolerance can be achieved. There is a wide range of algorithms and approaches which include linear as well as quadratic programming-based CA schemes. Such schemes can deal with constraints on the control input, but these methods cannot be represented in explicit form.Reliability is an important property in Fault Tolerant Control domain and managing redundant actuators optimally plays a vital role to achieve this goal. In this thesis to handle the issue happening in actuators channels through Integral sliding mode FTC scheme by taking advantage of redundant actuators through online control allocation scheme designed for Propulsion Control application, (where only the engines thrust is available) for a safe landing. It is presumed that the health information of actuators is available for the proposed FTC scheme. Here, both lateral and longitudinal models of a large airplane are considered to design separate controller for each modes of operation. The viability level of the actuators is utilized by the control distribution conspire to reallocate the control signs to adjust engines push whenever actuators-failures happens without reconfiguring the controller. The main objective in this thesis is safe landing when system is totally dependent upon engines thrust. The effectiveness of the proposed propulsion control scheme against deficiencies is tried in simulations using MATLAB in view of an enormous vehicle airplane model. The basic purpose to design this scheme is emergency safe landing in case of total hydraulic failures. The proposed scheme using online control allocation is compared with direct control allocation to show its effectiveness.

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department of electrical engineering, FA18, electrical engineering, Propulsion control of aerial vehicle using online control allocation approach:

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