Development of c-means Clustering Based Adaptive Fuzzy Controller for A Flapping Wing Micro Air Vehicle

Advanced and accurate modelling of a Flapping Wing Micro Air Vehicle (FW MAV) and its control is one of the recent research topics related to the field of autonomous Unmanned Aerial Vehicles (UAVs). In this work, a four wing Natureinspired (NI) FW MAV is modeled and controlled inspiring by its advanced features like quick flight, vertical take-off and landing, hovering, and fast turn, and enhanced manoeuvrability when contrasted with comparable-sized fixed and rotary wing UAVs. The Fuzzy C-Means (FCM) clustering algorithm is utilized to demonstrate the NIFW MAV model, which has points of interest over first principle based modelling since it does not depend on the system dynamics, rather based on data and can incorporate various uncertainties like sensor error. The same clustering strategy is used to develop an adaptive fuzzy controller. The controller is then utilized to control the altitude of the NIFW MAV, that can adapt with environmental disturbances by tuning the antecedent and consequent parameters of the fuzzy system.Comment: this paper is currently under review in Journal of Artificial Intelligence and Soft Computing Researc

Pareto optimal PID tuning for Px4-Based unmanned aerial vehicles by using a multi-objective particle swarm optimization algorithm

Unmanned aerial vehicles (UAVs) are affordable these days. For that reason, there are currently examples of the use of UAVs in recreational, professional and research applications. Most of the commercial UAVs use Px4 for their operating system. Even though Px4 allows one to change the flight controller structure, the proportional-integral-derivative (PID) format is still by far the most popular choice.CONACYT – Consejo Nacional de Ciencia y TecnologíaPROCIENCI

Passive Compliance Control of Aerial Manipulators

This paper presents a passive compliance control for aerial manipulators to achieve stable environmental interactions. The main challenge is the absence of actuation along body-planar directions of the aerial vehicle which might be required during the interaction to preserve passivity. The controller proposed in this paper guarantees passivity of the manipulator through a proper choice of end-effector coordinates, and that of vehicle fuselage is guaranteed by exploiting time domain passivity technique. Simulation studies validate the proposed approach.Comment: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 201

Output Feedback Image-Based Visual Servoing of Rotorcrafts

© 2018, Springer Nature B.V. This paper presents an improved output feedback based image-based visual servoing (IBVS) law for rotorcraft unmanned aerial vehicles (RUAVs). The control law enables a RUAV with a minimal set of sensors, i.e. an inertial measurement unit (IMU) and a single downward facing camera, to regulate its position and heading relative to a planar visual target consisting of multiple points. As compared to our previous work, twofold improvement is made. First, the desired value of the image feature of controlling the vertical motion of the RUAV is a function of other image features instead of a constant. This modification helps to keep the visual target stay in the camera’s field of view by indirectly adjusting the height of the vehicle. Second, the proposed approach simplifies our previous output feedback law by reducing the dimension of the observer filter state space while the same asymptotic stability result is kept. Both simulation and experimental results are presented to demonstrate the performance of the proposed controller

CM Scale Flapping Wing Of Unmanned Aerial Vehicle At Very Low Reynolds Numbers Regime

This dissertation investigates the CM$-$SCALE Flapping Wing of Unmanned Aerial Vehicle (FWUAV) that can accommodate nacelles of the scale of current Unmanned Air vehicle (UAV) designs are complex systems and their utilization is still in its infancy. The improving design of unmanned aerial vehicle from previous teams by improving the wings and outer body of bird. So, to potentially improve wing design, a complaint joint mechanism is proposed in order to make wing flapping and provide lift and thrust needed to fly. Also, change the wing design from flat wing to airplane wing by using two different airfoils, NACA 0012 and s1223. For bird\u27s body change the internal body to ensure to contain all internal components and give more space for flapping wings. Concurrently a redesign of the outer shell by making it smoother and lighter will be commensurate with the updated design. In addition, development of an evaluation methodology for the capability of a flapping wing to replication design loads by using computational fluid dynamic CFD by using fluid structure interaction in 2D and 3D analysis. We will investigate the design and analysis of the flapping wing. Specifically, this includes: 1. Review of cm−Scale Unmanned Aerial Vehicle Model and design (a) Investigate flapping Mechanism. (b) Investigate gear mechanism 2. Analysis of flapping wings for MAV (a) Select Airfoils for flapping wing. (b) Analyze Flapping Wings. (c) Make recommendations for Tail design for MAV. (d) Make recommendations for the improved design of MAV body. 3. Development of Finite Element flapping wing Model. (a) 2D computational analysis for Airfoils. i. NACA0012 Airfoil. ii. s1223 Airfoil. (b) 3D computational analysis with different shape of wings. i. Relationship between critical parameters and performance. ii. Design Optimization. Which is new key to make flapping wing close to the nature or real flapping wing, a new wing design inspired from nature exactly from thrush and scaled to our design. Starting from gear design by choose proper gear system. Then redesign the wings to commensurate with new bird. Computational fluid analysis also will used to replicate the loads needed to fly. This is another important area in which the literature is not offering guidance. Addresses the lack of an overview paper in the literature that outlines the challenges of testing a full$-$scale flapping wing Unmanned aerial vehicle onto laminar flow test and suggests research direction to address these challenges. Although conceptual in nature, this contribution is expected to be significant given that it takes experience in the unmanned vehicle industry to determine what challenges matter and need to be addressed. The growth in testing full-scale unmanned air vehicle using a laminar flow test being recent limits the number of people who can offer the perspective needed to suggest a research roadmap

Experimental Determination and Validation of sUAS Moments of Inertia

The rise in use of small unmanned aerial systems (sUAS) in industry and research has resulted in a need to develop modeling and testing procedures which are feasible and cost effective for small-scale airframes. Computer models of these vehicles are based on a description of the underlying physical and aerodynamic characteristics of these vehicles which are often only roughly approximated in the design stage. One difficult to accurately obtain, yet highly important, physical characteristic of an aircraft is its inertia tensor. The aircraft’s inertia tensor is directly related to the dynamic motion about the pitch, roll, and yaw axes. Understanding this dynamic motion is the first step in control system design and validation. Utilizing previous work in experimental moment of inertia (MOI) testing and small-scale flight testing, this project developed a bifilar torsional pendulum capable of accurately and affordably measuring the inertia tensor of sUAS. In order to validate the bifilar pendulum measurements, flight tests were developed to experimentally obtain the MOI of the sUAS for comparison. Due to changes in Ohio State University policy after the outbreak of COVID-19, the planned flight tests could not be completed at this time. Future work should focus on the validation of the bifilar pendulum measurements along with determination and validation of MOI for non-primary axes.No embargoAcademic Major: Aeronautical and Astronautical Engineerin

Development of a Remotely-Piloted Vehicle Platform to Support Implementation, Verification, and Validation of Pilot Control Systems

This thesis presents the development of a research test bed and the use of a set of metrics for evaluating handling qualities with pilot in the loop configuration. The main objective of this study is to provide software and hardware tools to support performance evaluation of control systems designed to compensate for Pilot Induced Oscillations (PIOs). A remotely-piloted vehicle presented in this thesis consists of an RC aircraft modified to be flown from a ground station cockpit. The unmanned aerial system has a high-speed on-board processing system capable of simulating different conditions during flight such as injecting actuator failures and adding delays. In this study, the analysis of pilot handling qualities based on a set of evaluation metrics, is also included. The metrics are based on time-domain Neal-Smith criterion and are used to provide numerical data which categorizes the control system in one of the levels on the Cooper-Harper Rating scale. Two different control configurations were implemented and analyzed in this study: stick-to-servo and non-linear dynamic inversion control laws. Piloted-simulation results are presented on the Neal-Smith flying qualities plane at different flight conditions