Stability Augmentation System for Hovering Helicopter: A Preliminary Design

Thomas, Femi; Mija, S J

doi:10.1109/indiancc.2019.8715602

Cited by 4 publications

(3 citation statements)

References 9 publications

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“…Differentiation and integration orders in fractional calculus can be any number (usually between 0 and 1) and the fundamental operator is given by D t α where ( ∈ ℜ) for the noninteger order where α and t are the bounds of the operation [5].…”

Section: Fractional Order Controllermentioning

confidence: 99%

“…Leibniz and Hopital were the first who used the fractional generation in the mid of the 17th century, after that, many researchers were interested in this field such as Liouville in 1832 and Holmgren in 1864. For Helicopter system, the efficiency of the proposed FOPID controller with GA is demonstrated by comparing it with the traditional PID controller, which is also optimized using GA [3], [4], [5]. There work were mainly focuses on the helicopter dynamics where it is extremely complex and nonlinear in addition to the ambient disturbance that can not be neglected.…”

Section: Introductionmentioning

confidence: 99%

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Helicopter Stabilization Using Integer and Fractional Order PID Controller Based on Genetic Algorithm

Ali¹,

Abdulla²,

Mohammed³

2020

Proceedings of the Proceedings of the 1st International Multi-Disciplinary Conference Theme: Sustainable Development and Smart

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Fractional Order Proportional, Integral, Derivative (FOPID) controller is a modified Proportional Integral Derivative (PID) controller, which has fractional orders for its derivative and integral parts rather than an integer. Two techniques, namely, PID and FOPID, are adopted to design and implement a Three Degree of Freedom (3DOF) control system to stabilize pitch, roll and travel axes of the helicopter system. In this study, an improvement in the performance of the controllers is achieved using the Genetic Algorithm (GA) optimization method which is employed to find optimum parameter values for controller gains. The helicopter control system is modeled mathematically and then simulated using MATLAB environment to verify the performance of the proposed PID and FOPID controllers based on the GA tuning method. Simulation results suggest that the GA-FOPID controller compared with GA-PID controller can achieve faster and more stable control performance for the 3DOF helicopter system.

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Section: Fractional Order Controllermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Helicopter Stabilization Using Integer and Fractional Order PID Controller Based on Genetic Algorithm

Ali¹,

Abdulla²,

Mohammed³

2020

Proceedings of the Proceedings of the 1st International Multi-Disciplinary Conference Theme: Sustainable Development and Smart

View full text Add to dashboard Cite

show abstract

“…However, they cannot account for the cross-coupling effects and are not robust to disturbances, measurement noises and uncertainties (Kim et al , 2006). The optimal control approach, linear quadratic regulator (LQR) with multi-input-multi-output (MIMO) feedback performs better when compared with the multi-loop SISO case (Thomas and Mija, 2019). However, robustness to wind disturbances and parametric uncertainties is poor when implemented in real-time (Kopyt et al , 2019).…”

Section: Introductionmentioning

confidence: 99%

Composite nonlinear H_∞ based output feedback controller for an un-crewed helicopter in its hover flight

Thomas

Mija

2021

AEAT

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Purpose This paper aims to propose output feedback-based control algorithms for the flight control system of a scaled, un-crewed helicopter in its hover flight mode. Design/methodology/approach The proposed control schemes are based on H∞ control and composite nonlinear control. The gains of the output feedback controllers are obtained as the solution of a set of linear matrix inequalities (LMIs). Findings In the proposed schemes, the finite-time convergence of system states to trim condition is achieved with minimum deviation from the steady-state. As the proposed composite nonlinear output feedback design improves the transient response, it is well suited for a scaled helicopter flight. The use of measured output vector instead of the state vector or its estimate for feedback provides a simple control structure and eliminates the need for an observer in real-time application. The proposed control strategies are relevant to situations in which a simple controller is essential due to economic factors, reliability and hardware implementation constraints. Practical implications The proposed control strategies are relevant to situations in which a simple controller is essential due to economic factors, reliability and hardware implementation constraints. They also have significance in applications where the number of measurement quantities needs to be minimized such as in a fully functional rotor-craft unmanned aerial vehicle. Social implications The developed output feedback control algorithms can be used in small-scale helicopters for numerous civilian and military applications. Originality/value This work addresses the LMI-based formulation and solution of an output feedback controller for a hovering un-crewed helicopter. The stability and robustness of the closed-loop system are proved mathematically and the performance of the proposed schemes is compared with an existing strategy via simulation studies.

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Trajectory Tracking of Unmanned Helicopter Using Optimized Integral LQR Controller

Issac

Thomas

Mija

2020

2020 Fourth International Conference on Inventive Systems and Control (ICISC)

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Stability Augmentation System for Hovering Helicopter: A Preliminary Design

Cited by 4 publications

References 9 publications

Helicopter Stabilization Using Integer and Fractional Order PID Controller Based on Genetic Algorithm

Helicopter Stabilization Using Integer and Fractional Order PID Controller Based on Genetic Algorithm

Composite nonlinear H_∞ based output feedback controller for an un-crewed helicopter in its hover flight

Trajectory Tracking of Unmanned Helicopter Using Optimized Integral LQR Controller

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Stability Augmentation System for Hovering Helicopter: A Preliminary Design

Cited by 4 publications

References 9 publications

Helicopter Stabilization Using Integer and Fractional Order PID Controller Based on Genetic Algorithm

Helicopter Stabilization Using Integer and Fractional Order PID Controller Based on Genetic Algorithm

Composite nonlinear H∞ based output feedback controller for an un-crewed helicopter in its hover flight

Trajectory Tracking of Unmanned Helicopter Using Optimized Integral LQR Controller

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Product

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Composite nonlinear H_∞ based output feedback controller for an un-crewed helicopter in its hover flight