Fractional order modeling and control of dissimilar redundant actuating system used in large passenger aircraft

Ijaz, Salman; Lin, Yan; Hamayun, Mirza Tariq

doi:10.1016/j.cja.2018.03.002

Cited by 22 publications

(16 citation statements)

References 19 publications

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“…Whereas, the position of the control surface is taken as an output. The detail regarding the nonlinear mathematical model is given in the author’s previous work (see ijaz et al, 2018a, ijaz et al, 2018b). However, in this paper, the linearized model of HA, EHA and the control surfaces are directly taken into account for FTC analysis.…”

Section: Mathematical Model Of Drasmentioning

confidence: 99%

“…This research is focused on the DRAS that is composed of one HA and one EHA. It is well-known from the literature (Ijaz et al, 2018a; Shi et al, 2015, 2017) that the DRAS can operate in two different modes; the first one is active/passive (A/P) mode and the second one is active/active (A/A). In A/P mode, HA is the main driver and EHA is a backup actuator.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive fault tolerant control of dissimilar redundant actuation system of civil aircraft based on integral sliding mode control strategy

Ijaz

Hamayun

Lin

et al. 2019

Transactions of the Institute of Measurement and Control

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In modern aircraft, the dissimilar redundant actuation system is used to resolve the actuator failure issues due to the common cause, thus increasing the system reliability. This paper proposes an adaptive integral sliding mode fault tolerant control strategy to deal with actuator fault/failure in the dissimilar redundant actuation system of civil aircraft. To cope with the unknown actuator faults, the adaptive integral sliding mode controller is designed where the modulation gain is made adaptive to the fault. To deal with the complete failure of certain actuator, the integral sliding mode control is integrated with control allocation scheme and distribute the control input signals to the redundant actuators. The performance of the proposed scheme is tested on the nonlinear model of dissimilar redundant actuation system, where the effect of external airload is accounted during simulations. The effectiveness of the proposed scheme is validated by comparing the simulations with the existing literature.

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Section: Mathematical Model Of Drasmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Adaptive fault tolerant control of dissimilar redundant actuation system of civil aircraft based on integral sliding mode control strategy

Ijaz

Hamayun

Lin

et al. 2019

Transactions of the Institute of Measurement and Control

Self Cite

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“…Similarly, by taking Laplace transform of (5) and (14) with initial conditions (8) and (9), the transfer function from the input j(0, t) to the output n(0, t) is obtained as…”

Section: Diffusion Processesmentioning

confidence: 99%

“…Fractional calculus, which extends the concepts of traditional integration and differentiation to non-integer-order integration and differentiation [1], provides powerful tools for describing the behaviour of many real-world systems in several fields of science and engineering [2][3][4][5][6]. Also, this calculus suggests new structures for choosing controllers (fractional-order controllers) which exhibit more flexibility, reliability and robustness in comparison with integer-order ones [7][8][9]. Furthermore, different studies have shown that using fractional-order controllers in control loops can improve the performance [10,11].…”

Section: Introductionmentioning

confidence: 99%

Robust control for time‐fractional diffusion processes: application in temperature control of an alpha silicon carbide cutting tool

Sayyaf

Tavazoei

2018

IET Control Theory & Applications

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“…There are several ways to control a commercial plane, some of which are discussed below. The fractional order method is used to surface control of a commercial aircraft by compensating with PI controller [5]. In the mentioned paper, an aerial load is applied to challenge the control system, but the parameters have not any uncertainty.…”

Section: Introductionmentioning

confidence: 99%

A New Type-2 Fuzzy Sliding Mode Control for Longitudinal Aerodynamic Parameters of a Commercial Aircraft

Tavoosi¹

2020

JESA

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Although sliding mode control has many advantages such as stability and robustness but there are two important disadvantages as follow: Chattering phenomenon and mathematical nonlinear dynamic equivalent controller part. So, this paper presents a new method of adaptive sliding mode control based on general type-2 fuzzy logic to overcome on the mentioned problems. First, the longitudinal motion equations of a commercial aircraft and the upper limits of the unknown functions are introduced, which include the driving errors and uncertain parameters of the model. Then, a general type-2 fuzzy neural network (GT2FNNs), with adaptive rules, estimates these limits. Estimating the limits can reduce the computational load with less rules and weight than the dynamic matrix. The Boeing 747 is being studied and an attempt has been made to use a model very close to this aircraft. The stability of the control system has been proven. The simulation results show that by applying three models of faults to the aircraft system, the proposed type-2 fuzzy-based sliding mode control has excellent performance, especially in controlling the Aileron and Rudder angles.

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Fractional order modeling and control of dissimilar redundant actuating system used in large passenger aircraft

Cited by 22 publications

References 19 publications

Adaptive fault tolerant control of dissimilar redundant actuation system of civil aircraft based on integral sliding mode control strategy

Adaptive fault tolerant control of dissimilar redundant actuation system of civil aircraft based on integral sliding mode control strategy

Robust control for time‐fractional diffusion processes: application in temperature control of an alpha silicon carbide cutting tool

A New Type-2 Fuzzy Sliding Mode Control for Longitudinal Aerodynamic Parameters of a Commercial Aircraft

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