Design and analysis of a feedback loop to regulate the basic parameters of the unmanned aircraft

2018 ◽  
Vol 92 (3) ◽  
pp. 318-328
Author(s):  
Marcin Chodnicki ◽  
Katarzyna Bartnik ◽  
Miroslaw Nowakowski ◽  
Grzegorz Kowaleczko
Keyword(s):  
Control System ◽  
Feedback Control ◽  
Rapid Prototyping ◽  
Unmanned Aerial Vehicle ◽  
Pid Controller ◽  
Control Object ◽  
Unmanned Aircraft ◽  
Feedback Control System ◽  
Content Type ◽  
Aerial Vehicle

Purpose The motivation to perform research on feedback control system for unmanned aerial vehicles, a fact that each quadrocopter is unstable. Design/methodology/approach For this reason, it is necessary to design a control system which is capable of making unmanned aerial vehicle vertical take-off and landing (UAV VTOL) stable and controllable. For this purpose, it was decided to use a feedback control system with cascaded PID controller. The main reason for using it was that PID controllers are simple to implement and do not use much hardware resources. Moreover, cascaded control systems allow to control object response using more parameters than in a standard PID control. STM32 microcontrollers were used to make a real control system. The rapid prototyping using Embedded Coder Toolbox, FreeRTOS and STM32 CubeMX was conducted to design the algorithm of the feedback control system with cascaded PID controller for unmanned aerial vehicle vertical take-off and landings (UAV VTOLs). Findings During research, an algorithm of UAV VTOL control using the feedback control system with cascaded PID controller was designed. Tests were performed for the designed algorithm in the model simulation in Matlab/Simulink and in the real conditions. Originality/value It has been proved that an additional control loop must have a full PID controller. Moreover, a new library is presented for STM32 microcontrollers made using the Embedded Coder Toolbox just for the research. This library enabled to use rapid prototyping while developing the control algorithms.

Laser Compensation for Ceramics Accuracy Improvement of Selective Laser Sintering

2014 ◽  
Vol 902 ◽  
pp. 12-17 ◽  
Author(s):  
Ruey Tsung Lee ◽  
Fwu Hsing Liu ◽  
Ku En Ting ◽  
Sheng Lih Yeh ◽  
Wen Hsueng Lin
Keyword(s):  
Control System ◽  
Feedback Control ◽  
Rapid Prototyping ◽  
Laser Energy ◽  
Selective Laser Sintering ◽  
Laser Sintering ◽  
Feedback Control System ◽  
Well Performance ◽  
Layer Deposition ◽  
Slurry Layer

This research developed a feedback control system of laser compensation for the rapid prototyping (RP) machine using layer-wise slurry deposition and selective laser sintering (SLS). The slurry was prepared by silica power and silica sol with 60 and 40 wt.% with suitable rheological properties for 0.1 mm layer deposition. Four ceramics for comparison of the formability of fabricated ceramic green parts with/without the feedback control system of laser energy density for models were designed With this laser feedback control, batter quality ceramic green parts can be manufactured and the rapid prototyping machine with steady laser energy radiated on slurry layer was achieved. Experimental results validate the well performance of the measuring laser power and feedback control system.

scholarly journals The Design of an Automatic Flight Control System and Dynamic Simulation for Fixed-Wing Unmanned Aerial Vehicle (UAV) using X-Plane and LabVIEW

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Nur Ezzyana Ameera Mazlan ◽  
◽  
Syariful Syafiq Shamsudin ◽  
Mohammad Fahmi Pairan ◽  
Mohd Fauzi Yaakub ◽  
...  
Keyword(s):  
Control System ◽  
Unmanned Aerial Vehicle ◽  
Flight Control ◽  
Pid Controller ◽  
Pole Placement ◽  
Flight Simulator ◽  
Flight Control System ◽  
Labview Software ◽  
Controller Gain ◽  
Aerial Vehicle

This research focuses on developing an automatic flight control system for a fixed-wing unmanned aerial vehicle (UAV) using a software-in-the-loop method in which the PID controller is implemented in National Instruments LabVIEW software and the flight dynamics of the fixed-wing UAV are simulated using the X-Plane flight simulator. The fixed-wing UAV model is created using the Plane Maker software and is based on existing geometry and propulsion data from the literature. Gain tuning for the PID controller is accomplished using the pole placement technique. In this approach, the controller gain can be calculated using the dynamic parameters in the transfer function model and the desired characteristic equation. The proposed controller designs' performance is validated using attitude, altitude, and velocity hold simulations. The results demonstrate that the technique can be an effective tool for researchers to validate their UAV control algorithms by utilising the realistic UAV or manned aircraft models available in the X-Plane flight simulator.

scholarly journals MODELLING OF THE UNMANNED AERIAL VEHICLES FLIGHT CONTROL SYSTEM

Aviation ◽  
2021 ◽  
Vol 25 (2) ◽  
pp. 79-85
Author(s):  
Mirosław Adamski
Keyword(s):  
Control System ◽  
Unmanned Aerial Vehicles ◽  
Unmanned Aerial Vehicle ◽  
Flight Control ◽  
Aerodynamic Drag ◽  
Unmanned Aircraft ◽  
Simulation Program ◽  
Flight Control System ◽  
Aerial Vehicles ◽  
Aerial Vehicle

The article is an independent work containing the author’s ingenious research methodology and the model of the control system of Unmanned Aerial Vehicles. Furthermore a unique and world first mathematical model of an Unmanned Aerial Vehicle was developed, as well as a simulation program which enabled to investigate the control system of any Unmanned Aerial Vehicles in the tilt duct pitch (altitude), bank (direction), deviation and velocity, depending upon the variable values of the steering coefficient, reinforcement coefficient and the derivative constant. The research program was written in the language of the C++ as the MFC class, on the MS Visual Studio 2010 platform. The main issue resolved in the article is the pioneering research of the process of control during manual and semi-automatic guidance of the Unmanned Aerial Vehicle, with a jet propulsion system to the coordinates of preset points of the flight route. Modelling of the flight control system takes into account: the logical network of operations of the simulation program, the pilot-operator model, the set motion and control deviations as well as the flight control laws. In addition, modeling of the control system takes into account the drive model, engine dynamics, engine thrust, the model of steering actuators and the model of external loads. In contrast, the external load model takes into account the external forces acting on the unmanned aircraft, including gravitational forces and moments, aerodynamic forces and moments, aerodynamic drag, aerodynamic lateral forces, aerodynamic lift forces, aerodynamic heeling moment, mechanism of local angle of attack from damping torque and forces and moments from the engine.

scholarly journals Synthesis of invariant circuit angular stabilization of unmanned aircraft at the pitch angle

2020 ◽  
pp. 14-20
Author(s):  
I. V. Rozhkov
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Pitch Angle ◽  
Pid Controller ◽  
Inverse Dynamics ◽  
Unmanned Aircraft ◽  
Synthesis Methods ◽  
Invariant System ◽  
Robust Controller ◽  
Aerial Vehicle ◽  
Dynamics Problems

The article considers the synthesis methods of an automatic invariant system of the pitch angle stabilization of an unmanned aerial vehicle that is based on the concept of inverse dynamics problems. The methods and results of simulation mathematical results of synthesized stabilization loop with using the Simulink of program MATLAB. The results of a comparative analysis of the dynamic characteristics of the contour of angular stabilization of an unmanned aerial vehicle by pitch angle with a PID-controller and a synthesized robust controller are presented.

scholarly journals Penerapan Sistem Kendali PID pada Antena Pendeteksi Koordinat Posisi UAV

2015 ◽  
Vol 5 (2) ◽  
pp. 187
Author(s):  
Mahendra Budi Nugraha ◽  
Raden Sumiharto
Keyword(s):  
Control System ◽  
Motion Control ◽  
Unmanned Aerial Vehicle ◽  
Pid Control ◽  
Pid Controller ◽  
Vertical Motion ◽  
Pd Control ◽  
Is Implementation ◽  
Aerial Vehicle ◽  
Control Set

AbstrakPada penelitian ini telah diterapkan sebuah sistem kendali Proporsional-Integral-Derivatif (PID) pada antena pendeteksi koordinat posisi pesawat udara tanpa awak. Sistem kendali PID pada antena pendeteksi digunakan pada kendali gerak horizontal dan vertikal. Nilai acuan kendali PID untuk gerak horizontal adalah sudut azimuth antara antena dan UAV. Sudut tersebut didapatkan dari metode azimuth antara dua buah titik koordinat. Nilai acuan kendali PID untuk gerak vertikal adalah sudut elevasi yang didapat dari metode Haversine Formula dan Sinus Trigonemetri antara jarak dua titik koordinat terhadap ketinggian UAV. Metode tuning PID yang digunakan untuk memperoleh konstanta pengendali PID adalah metode Ziegler-Nichols dengan metode osilasi dan tabel penalaran sistem kendali Ziegler-Nichols.Hasil yang diperoleh dari penelitian ini berupa penerapan sistem kendali PID berdasarkan metode Ziegler-Nichols. Sistem kendali berdasarkan tabel penalaran Ziegler-Nichols divariasikan tiga jenis sistem kendali yaitu P, PI, dan PID. Sistem kendali PD juga diterapkan berdasarkan tabel penalaran Ziegler-Nichols dengan  pengendali integral diatur bernilai 0. Sistem kendali yang memiliki respon paling baik adalah sistem kendali PD dengan nilai Kp = 11,375 dan Kd = 0,372531 untuk kendali azimuth sedangkan kendali elevasi pada nilai Kp = 3,41 dan Kd = 0,111464. Respon yang dihasilkan kendali azimuth sebesar 0,32 detik dan kendali elevasi sebesar 0,34 detik. Kata kunci—PID, Antena Pendeteksi, Servo, UAV  Abstract In this project has been implemented a PID control system on antenna tracker of unmanned aerial vehicle coordinates. PID control system on antena tracker to be used on horizontal and vertikal motion control. The setpoint of PID controller for horizontal motion is azimuth’s angle between antenna and UAV. The angle produced by azimuth’s method between two coordinates. The setpoint of PID controller for vertical motion is elevasi’s angle that produced by haversine-formula’s method and Sinus Trigonometry between distance two coordinates toward altitude of UAV. Tuning of PID controller was calculated by Ziegler-Nichols’s method with oscillation’s method and reasoning table of Ziegler-Nichols.The result from this project is implementation PID control system with Ziegler-Nichols’s method. There ara 3 variations in Ziegler-Nichols’s table, that are P, PI, and PID control system. The PD control system also implemented with integral’s control set on 0. The control system that has a good response is PD control system with Kp = 11,375 and Kd = 0,372531 on azimuth’s control whereas elevasi’s control with Kp = 3,41 and Kd = 0,111464. Response that produced by azimuth’s control is 0,32 second and elevasi’s control is 0,34 second. Keywords—PID, Antenna Tracker, Servo, UAV 

scholarly journals Studies of 4-rotor unmanned aerial vehicle UAV in the field of control system

2018 ◽  
Vol 210 ◽  
pp. 05009 ◽  
Author(s):  
Lucjan Setlak ◽  
Rafał Kowalik
Keyword(s):  
Control System ◽  
Unmanned Aerial Vehicle ◽  
Traffic Control ◽  
Structural Instability ◽  
Unmanned Aircraft ◽  
Vertical Takeoff And Landing ◽  
Aerial Vehicle ◽  
Vertical Takeoff ◽  
Linear Nature

The key goal of this work was to develop a functional mathematical model of a 4-rotor UAV, including regulatory apparatus and identification of its parameters. The functionality of a quadrocopter traffic control has been reduced to solving differential equations that define the motion and dynamics of an unmanned aerial vehicle. It should be noted that the synthesis of the quadrocopter control system is not an easy task, due to the non-linear nature of the dynamics of this object and its structural instability. Therefore, in this article the tested object UAV was accepted as a physical model, which may cause potential material damage resulting from damage to the device as well as other elements that are located in its immediate surroundings. In addition, the article discusses the problem of improving the quality of the estimation rate of climb of unmanned aircraft of vertical takeoff and landing UAV, this problem was considered for the object in the low-ceiling range, i.e. in the range of 0-6 m, so the issue concerns autonomous take-off and landing. For the presentation of the results, the 4-rotor UAV was used, with the use of a proportional-integral-derivative PID controller in the context of the control system. The obtained results were supported by research and analysis of real results - the discussed algorithm was implemented in the 4-rotor UAV driver.

Sign in / Sign up

Export Citation Format

Share Document