Nonlinear optimized adaptive trajectory control of helicopter

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

doi:10.1007/s11768-015-4062-1

Cited by 23 publications

(14 citation statements)

References 18 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%

“…The intelligent control system based on neural networks and fuzzy logic is introduced to the linear and nonlinear systems to enhance the control performance or to control the systems which were difficult to obtain their dynamic model [25]. Meguenni et al designed a fuzzy integral sliding mode controller to control a quadrotor [26].…”

mentioning

confidence: 99%

“…An adaptive fuzzy controller for quadrotor control is introduced by Coza et al to overcome the inherent nonlinearities in the system and be more robust against wind disturbances and uncertainties inserted by payloads [27]. Adaptive neural networks have also been used to adapt the flight controller to uncertainties and nonlinearities [25,28]. This neural network can identify and compensate the inherent unknown dynamics in the system which improved the control accuracy.…”

mentioning

confidence: 99%

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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%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Robust Nonlinear Fuzzy Formation Control of Unmanned Quadrotors

Khakshour¹,

Nourani²

2017

IJCA

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“…A small electric antenna can be defined as an antenna which possesses geometrical dimension that is small in comparison to the wavelength of the electromagnetic fields they radiate [1,2]. These antennas have various applications in unmanned vehicles [3,4,5], radars [6], and wireless communication [7,8] which motivate researchers to develop these antennas based on their needs. Metamaterial structures which are first developed by V. G. Veselago in 1967 provide electromagnetic properties that do not exist in nature and include negative index of refraction, negative permittivity, or negative permeability [9].…”

Section: Introductionmentioning

confidence: 99%

Compact and Wideband Disc Monopole Antenna based on Epsilon Negative Transmission Line for WiFi Applications

Forouzannezhad¹,

Sahandabadi²,

Ghoomi³

2017

IJCA

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In this work, a compact and broadband and planar monopole antenna consists of one unit cell of epsilon negative transmission line (ENG TL) is proposed. A disc-shaped monopole antenna is implemented at 2.45 GHz resonance frequency for 2.4 GHz applications. A 50 Ω microstrip line is used as a feedline and element of the antenna has 0.1λ 0 of diameter. The size of the antenna is reduced to 0.32λ 0 × 0.32λ 0 , and the -10 dB fractional bandwidth is improved to 12.8% due to using metamaterial transmission line. Prototype antenna is fabricated and tested, and the measured results are compared to the simulated results using Ansoft HFSS.

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“…Also the PD controller cannot control the unpredicted nonlinear properties of dynamic model, which may degrade the control performance critically. To find a more robust controller to tolerate these uncertainties, various method such as fuzzycompensator, fuzzy self-gain-tuner, fuzzy-PD controller and adaptive neural networks were introduced [1][2][3][4][5][6]. In these papers, the proportional and derivative gains of the fuzzy-PD controller were modified by the two-input fuzzy controller.…”

Section: Introductionmentioning

confidence: 99%

Optimized Fuzzy-Quaternion Attitude control of Satellite in Large maneuver

Ghadiri¹,

Sadeghi²,

Abaspour

et al. 2016

SpaceOps 2016 Conference

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In this paper a fuzzy-quaternion controller is designed for attitude control of a satellite, then the fuzzy memberships are tuned in an intelligent way by using particle swarm optimization (PSO) algorithm. Due to the satellite nonlinear behavior, classic methodologies cannot control satellite. The simulation result show that the designed controller can accurately control the satellite attitude in severe maneuvers. To evaluate the controller robustness in presence of uncertainties, 20 percent uncertainties were considered in inertias of momentum through the simulations. The simulation results show that the optimized fuzzy logic controller (OFLC) can control the satellite in large maneuvers in desirable time. In addition, the simulation results demonstrated that the proposed design is robust against uncertainties and have quite better performance than quaternion proportional-derivative (PD) controller in satellite motion control. Nomenclature AE= Direction cosine error matrix α = Angle between primary Euler vector and its latter (angle error) ANFIS = Adaptive network based fuzzy inference system CoA = Center of area e = Euler axis FLC = Fuzzy logic controller Kdi = Derivative control gain Kpi = Proportional control gain MFs = Membership functions PD = Proportional-Derivative control PSO = Particle swarm optimization Ti = Torque θ = Principal rotation angle

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Nonlinear optimized adaptive trajectory control of helicopter

Cited by 23 publications

References 18 publications

Robust Nonlinear Fuzzy Formation Control of Unmanned Quadrotors

Robust Nonlinear Fuzzy Formation Control of Unmanned Quadrotors

Compact and Wideband Disc Monopole Antenna based on Epsilon Negative Transmission Line for WiFi Applications

Optimized Fuzzy-Quaternion Attitude control of Satellite in Large maneuver

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