Pritesh Narayan

U-model-based dynamic inversion control for quadrotor UAV systems (2024)
Book Chapter

A Model-Independent Design approach (U-Model) is studied with the example of Quadrotor UAV. A Multiple-Input Multiple-Output (MIMO) dynamic model of a quadrotor UAV is derived, and U-Model-based Dynamic Inverse control approach is used to design a co... Read More about U-model-based dynamic inversion control for quadrotor UAV systems.

Trajectory tracking of a quadrotor using extend state observer based U-model enhanced double sliding mode control (2023)
Journal Article

This paper develops a novel U-model enhanced double sliding mode controller (UDSMC) for a quadrotor based on multiple-input and multiple-output extended-state-observer (MIMO-ESO). UDSMC is designed using Lyapunov synthesis and Hurwitz stability to no... Read More about Trajectory tracking of a quadrotor using extend state observer based U-model enhanced double sliding mode control.

An improved U-control design for nonlinear systems represented by input/output differential models with a disturbance observer (2022)
Journal Article

This paper presents a new method to calculate the inversion of the controlled linear/nonlinear dynamic plants which are described by input–output differential equation models. This new U-model-based inverter (U-inverter), cancels both system dynamics... Read More about An improved U-control design for nonlinear systems represented by input/output differential models with a disturbance observer.

Disturbance-observer-based u-control (Dobuc) for nonlinear dynamic systems (2021)
Journal Article

U-model, which is a control-oriented model set with the property of generally facilitate nonlinearity dynamic inversion/cancellation, has been introduced to the Disturbance Observer-Based control (DOBC) methods to improve the performance of the nonli... Read More about Disturbance-observer-based u-control (Dobuc) for nonlinear dynamic systems.

Robust standard gradient descent algorithm for ARX models using Aitken acceleration technique (2021)
Journal Article

A robust standard gradient descent (SGD) algorithm for ARX models using the Aitken acceleration method is developed. Considering that the SGD algorithm has slow convergence rates and is sensitive to the step size, a robust and accelerative SGD (RA-SG... Read More about Robust standard gradient descent algorithm for ARX models using Aitken acceleration technique.

U-model-based two-degree-of-freedom internal model control of nonlinear dynamic systems (2021)
Journal Article

This paper proposes a U-Model-Based Two-Degree-of-Freedom Internal Model Control (UTDF-IMC) structure with strength in nonlinear dynamic inversion, and separation of tracking design and robustness design. This approach can effectively accommodate mod... Read More about U-model-based two-degree-of-freedom internal model control of nonlinear dynamic systems.

U-Model and U-Control methodology for nonlinear dynamic systems (2020)
Journal Article

This study presents the fundamental concepts and technical details of a U-model-based control (U-control for short) system design framework, including U-model realisation from classic model sets, control system design procedures, and simulated showca... Read More about U-Model and U-Control methodology for nonlinear dynamic systems.

Improved gradient descent algorithms for time-delay rational state-space systems: Intelligent search method and momentum method (2020)
Journal Article

This study proposes two improved gradient descent parameter estimation algorithms for rational state-space models with time-delay. These two algorithms, based on intelligent search method and momentum method, can simultaneously estimate the time-dela... Read More about Improved gradient descent algorithms for time-delay rational state-space systems: Intelligent search method and momentum method.

Dynamic mesh framework for morphing wings CFD - User defined function (2020)
Digital Artefact

This project contains the user-defined functions (UDF) necessary to perform unsteady computational fluid dynamics (CFD) analysis of dynamically morphing wings equipped with morphing flaps.

There are three UDFs for each of the following application... Read More about Dynamic mesh framework for morphing wings CFD - User defined function.

An Investigation of a Morphing Flapped Wing (2020)
Presentation / Conference Contribution

This study investigated the design, development, and validation of an alternative method to achieve morphing in wings through the implementation of a sliding mechanism concept. Performance was tested at a specific Reynolds number (Re = 0.62 × 106). M... Read More about An Investigation of a Morphing Flapped Wing.

A composite feedback approach to stabilize nonholonomic systems with time varying time delays and nonlinear disturbances (2020)
Journal Article

In this work, we propose a robust stabilizer for nonholonomic systems with time varying time delays and nonlinear disturbances. The proposed approach implements a composite nonlinear feedback structure in which a linear controller is designed to yiel... Read More about A composite feedback approach to stabilize nonholonomic systems with time varying time delays and nonlinear disturbances.

Morphing airfoils analysis using dynamic meshing (2018)
Journal Article

© 2018, Emerald Publishing Limited. Purpose: The purpose of this paper is to use dynamic meshing to perform CFD analyses of a NACA 0012 airfoil fitted with a morphing trailing edge (TE) flap when it undergoes static and time-dependent morphing. The s... Read More about Morphing airfoils analysis using dynamic meshing.

U-model enhanced dynamic control of a heavy oil pyrolysis/cracking furnace (2018)
Journal Article

This paper proposes a case study in the control of a heavy oil pyrolysis/cracking furnace with a newly extended U-Model based Pole Placement Controller (U-PPC). The major work of the paper includes: 1. establishing a control oriented nonlinear dynami... Read More about U-model enhanced dynamic control of a heavy oil pyrolysis/cracking furnace.

Ensemble-Empirical-Mode-Decomposition based micro-Doppler signal separation and classification (2017)
Journal Article

The target echo signals obtained by Synthetic Aperture Radar (SAR) and Ground Moving Target Indicator (GMTI platforms are mainly composed of two parts, the micro-Doppler signal and the target body part signal. The wheeled vehicle and the track vehicl... Read More about Ensemble-Empirical-Mode-Decomposition based micro-Doppler signal separation and classification.

Unsteady parametrization of a morphing wing design for improved aerodynamic performance (2017)
Presentation / Conference Contribution

A morphing wing is a bio-inspired concept where all moving parts e.g. slats/flaps are replaced with a deformable body. This paper describes a methodology that uses modified parametrization methods to define a morphing geometry, and applies user-defin... Read More about Unsteady parametrization of a morphing wing design for improved aerodynamic performance.

The first stage studies of U-state space control system design (2015)
Presentation / Conference Contribution

In this study, a basic idea of U-state feedback control system design method is proposed based on U-model principle. Compared with U-model based nonlinear polynomial systems, the U-state space design is to determine the desired state variable equatio... Read More about The first stage studies of U-state space control system design.

Enabling autonomous flight capabilities onboard commercial aircraft to improve safety (2013)
Presentation / Conference Contribution

This paper presents the development and implementation of a novel Flight Management System (FMS) to ensure onboard passenger safety of commercial aircraft in the event of an emergency scenario where the pilot must relinquish control of the aircraft (... Read More about Enabling autonomous flight capabilities onboard commercial aircraft to improve safety.

Embedding human expert cognition into autonomous UAS trajectory planning (2013)
Journal Article

This paper presents a new approach for the inclusion of human expert cognition into autonomous trajectory planning for unmanned aerial systems (UASs) operating in low-altitude environments. During typical UAS operations, multiple objectives may exist... Read More about Embedding human expert cognition into autonomous UAS trajectory planning.

Development of an autonomous unmanned aerial system to collect time-stamped samples from the atmosphere and localize potential pathogen sources (2011)
Journal Article

This paper presents the hardware development and testing of a new concept for air sampling via the integration of a prototype spore trap onboard an unmanned aerial system (UAS). We propose the integration of a prototype spore trap onboard a UAS to al... Read More about Development of an autonomous unmanned aerial system to collect time-stamped samples from the atmosphere and localize potential pathogen sources.

Computationally adaptive multi-objective trajectory optimization for UAS with variable planning deadlines (2009)
Presentation / Conference Contribution

This paper presents a new approach which allows for the computation and optimization of feasible 3D flight trajectories within real time planning deadlines, for Unmanned Aerial Systems (UAS) operating in environments with obstacles present. Sets of c... Read More about Computationally adaptive multi-objective trajectory optimization for UAS with variable planning deadlines.

Pritesh Narayan's Outputs (35)