The Integrated Design of Aero-engines and Aero-craft

Duan, Franklin Li

doi:10.1007/978-981-19-8394-8_11

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DOI: 10.1007/978-981-19-8394-8_11

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The Integrated Design of Aero-engines and Aero-craft

Franklin Li Duan

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2023

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“…Both angles 292 are measured using high-resolution incremental encoders. The model was designed at the 293 authors' workplace and represents a low-cost alternative to the commercially available 294 models, such as [30], except for its limited rotation around the vertical axis imposed by 295 power and data cables.…”

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confidence: 99%

Computationally Efficient Continuous-Time Model Predictive Control of a 2-DOF Helicopter via B-Spline Parameterization

Rohal’-Ilkiv

Gulan

Minarčík

2023

Sensors

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This paper investigates one way to reduce the computational burden of continuous-time model predictive control (MPC) laws by representing the input/output signals and related models using B-spline functions. Such an approximation allows to implement the resulting feedback control law more efficiently, requiring less online computational effort. As a result, the proposed controller formulates the control signals as continuous polynomial spline functions. All constraints assumed over the prediction horizon are then expressed as constraints acting on the B-splines control polygon vertices. The performance of the proposed theoretical framework has been demonstrated with several real-time experiments using the well-known 2-DOF laboratory helicopter setup. The aim of the presented experiments was to track given step-like reference trajectories for pitch and yaw angles under notable parameter uncertainties. In order to suppress the influence of uncertainties, the control algorithm is implemented in an adaptive mode, equipped with the recursive least squares (RLS) estimation of model parameters and with the adaptation of stabilizing terminal set and terminal cost calculations. Thanks to the presented framework, it is possible to significantly reduce the computational burden, measured by the number of decision variables and input constrains, indicating the potential of the proposed concept for real-time applications, even when using embedded control hardware.

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confidence: 99%

Computationally Efficient Continuous-Time Model Predictive Control of a 2-DOF Helicopter via B-Spline Parameterization

Rohal’-Ilkiv

Gulan

Minarčík

2023

Sensors

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The Integrated Design of Aero-engines and Aero-craft

Cited by 1 publication

References 18 publications

Computationally Efficient Continuous-Time Model Predictive Control of a 2-DOF Helicopter via B-Spline Parameterization

Computationally Efficient Continuous-Time Model Predictive Control of a 2-DOF Helicopter via B-Spline Parameterization

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