Using fuzzy logic in dynamic inversion flight controller with considering uncertainties

Abaspour, Alireza; Sadeghi, Mohammad; Sadati, Seyed Hossein

doi:10.1109/ifsc.2013.6675662

Cited by 17 publications

(14 citation statements)

References 9 publications

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“…Dynamic inversion (DI) controller is selected to be implemented in order to control the quadrotor position and attitude. This controller has been successfully implemented in many aircraft [25,40,41]. DI is a nonlinear control strategy based feedback linearization that can be applied in several control-loops in a system.…”

Section: Control System Designmentioning

confidence: 99%

Robust Nonlinear Fuzzy Formation Control of Unmanned Quadrotors

Khakshour¹,

Nourani²

2017

IJCA

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A novel leader-following strategy based on fuzzy logic is introduced to design a formation flight controller for unmanned quadrotors. The proposed strategy uses particle swarm optimization (PSO) to optimize the fuzzy membership function in the guidance law, and a nonlinear dynamic inversion (NDI) controller is designed to control the nonlinear dynamics of the quadrotor. The simulation results show the proposed method has significant advantages in comparison with conventional leading-following strategies in terms of robustness against wind gusts, uncertainties, and unknown dynamics.

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Section: Control System Designmentioning

confidence: 99%

Robust Nonlinear Fuzzy Formation Control of Unmanned Quadrotors

Khakshour¹,

Nourani²

2017

IJCA

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“…As it can be seen the IMGPC controller has far less control input in comparison with LQR controller. This can help brake actuator to have much longer life [15]. The robustness of introduced controller is tested over a sever noise and a severe disturbance which are depicted on Figure 6.…”

Section: Numerical Simulationmentioning

confidence: 99%

Independent Model Generalized Predictive Controller Design for Antilock Braking System

HasanKhansari¹,

Yaghoobi²,

Abaspour³

2015

IJCA

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Wheel slip control is a significant research topics in the field of car stability. Model predictive control is one of the most advanced controller which has received great attention and application in industries. In this paper independent model generalize predictive control (IMGPC) is introduced for antilock braking system. This controller is implemented on a linear model of anti-lock braking system, and through the numerical simulation, it is demonstrated that it can control the system in presence of sever noise and disturbances. The simulation results show that the proposed controller has better performance in comparison with other conventional linear controllers. General TermsPredictive control, Anti-lock braking system .

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“…Finally, the desired command components are isolated to the left of (15) to produce the longitudinal and lateral attitude commands:…”

Section: Quadrotor Controller Design Neo Quadrotors Fly In Amentioning

confidence: 99%

“…Techniques for stability analysis of an autonomous formation have also been developed for measuring how position errors propagate form one vehicle to another in a cascaded system [14,15].…”

Section: Introductionmentioning

confidence: 99%

“…The main limitation of the approach is given by the necessary multiple assumptions made about the aircraft dynamics; therefore, the controller only performs as desired in a limited flight envelope. However, as shown in the technical literature, the flight envelope has been expanded greatly using adaptive control [14,[35][36][37], fuzzy logic [38], and neural network (NN) [34,39] approaches.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Autonomous Close Formation Flight Control with Fixed Wing and Quadrotor Test Beds

Rice

Huo

et al. 2016

International Journal of Aerospace Engineering

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Autonomous formation flight is a key approach for reducing energy cost and managing traffic in future high density airspace. The use of Unmanned Aerial Vehicles (UAVs) has allowed low-budget and low-risk validation of autonomous formation flight concepts. This paper discusses the implementation and flight testing of nonlinear dynamic inversion (NLDI) controllers for close formation flight (CFF) using two distinct UAV platforms: a set of fixed wing aircraft named "Phastball" and a set of quadrotors named "NEO." Experimental results show that autonomous CFF with approximately 5-wingspan separation is achievable with a pair of low-cost unmanned Phastball research aircraft. Simulations of the quadrotor flight also validate the design of the NLDI controller for the NEO quadrotors.

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Using fuzzy logic in dynamic inversion flight controller with considering uncertainties

Cited by 17 publications

References 9 publications

Robust Nonlinear Fuzzy Formation Control of Unmanned Quadrotors

Robust Nonlinear Fuzzy Formation Control of Unmanned Quadrotors

Independent Model Generalized Predictive Controller Design for Antilock Braking System

Autonomous Close Formation Flight Control with Fixed Wing and Quadrotor Test Beds

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