Results 11 to 20 of about 1,327 (197)
Automatika, 2021 A quadcopter control system is a fundamentally difficult and challenging problem because its dynamics modelling is highly nonlinear, especially after accounting for the complicated aerodynamic effects.
Mohamad Norherman Shauqee +2 more
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Design and Implementation of a Quadcopter Based on a Linear Quadratic Regulator (LQR)
Journal of Digital Food, Energy & Water Systems, 2020 This paper presents the design and construction and control of a quadcopter drone for Aerial Data Collection (ADC). The frame of the drone was designed using CadDian Software and the parts were printed using a 3D printer. The flight controller was based on Arduino board using an Atmega328p microprocessor with GSM, GPS and GPRS for sending data over the
Amevi Acakpovi +4 more
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Design of linear quadratic regulator (LQR) control system for flight stability of LSU-05 [PDF]
Journal of Physics: Conference Series, 2017 Lapan Surveillance UAV-05 (LSU-05) is an unmanned aerial vehicle designed to cruise time in 6 hours and cruise velocity about 30 m/s. Mission of LSU-05 is surveillance for researchs and observations such as traffics and disaster investigations. This paper aims to design a control system on the LSU-05 to fly steadily.
Heri Purnawan +2 more
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Journal of Computational Systems and ICTs, 2021 The main objective of this work is to show in detail the methodology to apply the Linear Quadratic Regulator (LQR) for Trajectory Tracking in an experimental way in a didactic platform which consists of a DC motor, the motor model is explained, and how the parameters were estimated experimentally and the validation thereofs.
Joaquín Herníndez-Santiago +2 more
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Investigasi Interleaved Boost Converter menggunakan kontroler Linear Quadratic Regulator (LQR)
Jurnal Teknik Industri TerintegrasiThe Boost DC-DC Converter plays a significant role in renewable energy applications and electric vehicles, serving to increase the output voltage from low-voltage sources. This study aims to analyze the performance of the Interleaved Boost Converter with Linear Quadratic Regulator (LQR) control compared to open loop and PID control.
Ade Safitra +2 more
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Analisis Respon Sistem Kendali LQR (Linear Quadratic Regulator) Pada Simulasi Gimbal Kamera Dua Sumbu [PDF]
Al-Fiziya: Journal of Materials Science, Geophysics, Instrumentation and Theoretical Physics, 2019 Research has been conducted to analyzed the responses of the two axis camera gimbal control system for pitch and roll direction using the Linear Quadratic Regulator (LQR) control system. It focused on the effect from the value of gain Q in calculation of the LQR.
Qalisha Putri Syahna +2 more
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Jurnal Elektronika dan Otomasi IndustriPenelitian ini membandingkan efektivitas metode kendali Proportional-Integral-Derivative (PID) dan Linear Quadratic Regulator (LQR) dalam meredam ayunan beban (sway) pada sistem gantry crane dua dimensi. Dengan simulasi MATLAB menggunakan variasi beban 0,1 hingga 1,3 kg, hasil menunjukkan bahwa kendali LQR mampu menjaga kestabilan posisi troli dengan ...
Naufal Hibban Naufal Hibban +5 more
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Meta-Learning Linear Quadratic Regulators: A Policy Gradient MAML Approach for Model-free LQR [PDF]
We investigate the problem of learning linear quadratic regulators (LQR) in a multi-task, heterogeneous, and model-free setting. We characterize the stability and personalization guarantees of a policy gradient-based (PG) model-agnostic meta-learning (MAML) (Finn et al., 2017) approach for the LQR problem under different task-heterogeneity settings. We
Leonardo F. Toso +3 more
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Ingeniería e Investigación, 2016 <p>In this paper, a genetic algorithm (GA) based in an optimization approach is presented in order to search the optimum weighting matrix parameters of a linear quadratic regulator (LQR). A Macpherson strut quarter car suspension system is implemented for ride control application.
Mahesh Nagarkar, G. J. Vikhe Patil
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Design of Linear Quadratic Regulator (LQR) Based on Genetic Algorithm for Inverted Pendulum
MENDEL, 2017 One of the crucial problems in the dynamics and automatic control theory is balancing of an invertedpendulum robot by moving a cart along a horizontal path. This task is often used as a benchmark for di erentmethod comparison. In the practical use of the LQR method, the key problem is how to choose weight matricesQ and R correctly. To obtain satisfying
Tomáš Marada +2 more
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