Modelling and PID Control of a Quadrotor Aerial Robot

2014 ◽  
Vol 903 ◽  
pp. 327-331 ◽  
Author(s):  
Ismail Mohd Khairuddin ◽  
Anwar P.P.A. Majeed ◽  
Ann Lim ◽  
Jessnor Arif M. Jizat ◽  
Abdul Aziz Jaafar
Keyword(s):  
Pid Control ◽  
Pitch Angle ◽  
Pid Controller ◽  
Pd Controller ◽  
Proportional Integral Derivative ◽  
Hovering Flight ◽  
Proportional Integral ◽  
Aircraft Model ◽  
Aerial Robot ◽  
Aerial Vehicle

This paper elucidates the modeling of a + quadrotor configuration aerial vehicle and the design of its attitude and altitude controllers. The aircraft model consists of four fixed pitch angle propeller, each driven by an electric DC motor. The hovering flight of the quadrotor is governed by the Newton-Euler formulation. The attitude and altitude controls of the aircraft were regulated using heuristically tuned (Proportional-Integral-Derivative) PID controller. It was numerically simulated via Simulink that a PID controller was sufficient to bring the aircraft to the required altitude whereas the attitude of the vehicle is adequately controlled by a PD controller.

scholarly journals PERANCANGAN AUTOPILOT LATERAL-DIREKSIONAL PESAWAT NIRAWAK LSU-05 (THE DESIGN OF THE LATERAL-DIRECTIONAL AUTOPILOT FOR THE LSU-05 UNMANNED AERIAL VEHICLE)

2018 ◽  
Vol 15 (2) ◽  
pp. 93 ◽  
Author(s):  
Muhammad Fajar ◽  
Ony Arifianto
Keyword(s):  
State Space ◽  
Linear Model ◽  
Unmanned Aerial Vehicle ◽  
Pid Controller ◽  
Settling Time ◽  
Proportional Integral Derivative ◽  
Proportional Integral ◽  
Directional Motion ◽  
Aerial Vehicle ◽  
Simulation Results

The autopilot on the aircraft is developed based on the mode of motion of the aircraft i.e. longitudinal and lateral-directional motion. In this paper, an autopilot is designed in lateral-directional mode for LSU-05 aircraft. The autopilot is designed at a range of aircraft operating speeds of 15 m/s, 20 m/s, 25 m/s, and 30 m/s at 1000 m altitude. Designed autopilots are Roll Attitude Hold, Heading Hold and Waypoint Following. Autopilot is designed based on linear model in the form of state-space. The controller used is a Proportional-Integral-Derivative (PID) controller. Simulation results show the value of overshoot / undershoot does not exceed 5% and settling time is less than 30 second if given step command. Abstrak Autopilot pada pesawat dikembangkan berdasarkan pada modus gerak pesawat yaitu modus gerak longitudinal dan lateral-directional. Pada makalah ini, dirancang autopilot pada modus gerak lateral-directional untuk pesawat LSU-05. Autopilot dirancang pada range kecepatan operasi pesawat yaitu 15 m/dtk, 20 m/dtk, 25 m/dtk, dan 30 m/dtk dengan ketinggian 1000 m. Autopilot yang dirancang adalah Roll Attitude Hold, Heading Hold dan Waypoint Following. Autopilot dirancang berdasarkan model linier dalam bentuk state-space. Pengendali yang digunakan adalah pengendali Proportional-Integral-Derivative (PID). Hasil simulasi menunjukan nilai overshoot/undershoot tidak melebihi 5% dan settling time kurang dari 30 detik jika diberikan perintah step.

scholarly journals A Portable PID Control Learning Tool by means of a Mobile Robot

2016 ◽  
Vol 12 (06) ◽  
pp. 54
Author(s):  
Kim Seng Chia ◽  
Xien Yin Yap
Keyword(s):  
Control Theory ◽  
Mobile Robot ◽  
Pid Control ◽  
Pid Controller ◽  
Low Cost ◽  
Proportional Integral Derivative ◽  
Font Size ◽  
Proportional Integral ◽  
Response Characteristics ◽  
Control Learning

<span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: SimSun; mso-fareast-theme-font: minor-fareast; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA;">A proportional-integral-derivative (PID) controller is a classical controller that has been applied in numerous applications. One learning lesson of PID control theory is to tune its proportional, integral, and derivative parameters so that the performance of system is optimal. Besides, teaching PID control theory verbally is challenging especially when transient response characteristics e.g. overshoot, rise time, and settling time are introduced. Thus, this study investigates the feasibility of a low cost mobile robot in conveying the knowledge of PID control theory. First, an inexpensive open-source mobile robot was modified so that the position of the robot can be recorded and visualized wirelessly. Second, a graphical user interface was built to visualize the movement of the robot. Lastly, the PID parameters were tuned and their effects were recorded and analyzed quantitatively. Findings show that the proposed method is capable of demonstrating the effects of P and D parameters correctly. </span>

scholarly journals A transformed proportional-integral-derivative controller for a multi-vectored propeller aerostat with independent actuator magnitude and rate saturations

2020 ◽  
Vol 103 (3) ◽  
pp. 003685042095012
Author(s):  
Li Chen ◽  
Yuxiang Deng ◽  
Qiyuan Gao ◽  
Jinguo Liu
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Position Control ◽  
Trial And Error ◽  
Proportional Integral Derivative ◽  
Proportional Integral ◽  
Independent Amplitude ◽  
Relationship Of ◽  
The Relationship ◽  
Control Output

The problem of designing a controller for a multi-vectored propeller airship with independent amplitude and rate saturations is addressed. First, a linear Proportional-Integral-Derivative (PID) controller is introduced for position control without considering the input saturations. Then, two design methods are applied to the traditional PID control output to satisfy the independent amplitude and rate constraints: the nested saturated PID controller (N-PID) and the transformed PID controller (T-PID). The bounded magnitudes and rate outputs of the modified controllers are given. Simulation results showed both controllers have good tracking performance while satisfying independent amplitude and rate saturations. However, the transformed PID controller has the advantage of expressing explicitly the relationship of the actuator magnitude and rate saturations with the parameters of the transformed function such that the actuator saturations are suppressed by calculation but not by trial and error.

scholarly journals MODELLING OF ACTIVE SUSPENSION SYSTEM FOR QUARTER CAR (PID CONTROL, MATLAB)

2021 ◽  
Vol 5 (10) ◽  
Author(s):  
Danish Saifi ◽  
Pramod Kumar
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Active Suspension ◽  
Suspension System ◽  
Modelling And Simulation ◽  
Pid Controllers ◽  
Proportional Integral Derivative ◽  
Control Loop ◽  
Proportional Integral ◽  
Fine Control

We are discussing active suspension in this research. It also includes an actuator or controller (ECU), wheels and body. The rider feels comfort in travelling due to the use of these types of suspension. Because it controls vertical moments or moves of the wheels and stable rider or passenger. It is most important in the automobile industries. There are many types of controllers used for fine control to vibration caused by wheels. E.g., PID controllers, it stands for Proportional Integral Derivative. PID controller provides better simultaneous vibration of the output of the control loop. It also used for improving the performance of the suspension system. We can do modelling and simulation carried out in MATLAB software for active suspension.

scholarly journals Position Tracking of ML System using CSA Based PID Controller

2019 ◽  
Vol 8 (11) ◽  
pp. 1956-1959
Keyword(s):  
Pid Controller ◽  
Magnetic Levitation ◽  
Search Algorithm ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Pid Controllers ◽  
Position Tracking ◽  
Proportional Integral Derivative ◽  
Proportional Integral ◽  
Simulation Results

The classical proportional integral derivative (PID) controllers are still use in various applications in industry. Magnetic levitation (ML) systems are rigidly nonlinear and sometimes unstable systems. Due to inbuilt nonlinearities of ML systems, tracking of position of ML Systems is still difficult. For the tracking purpose of position, PID controller parameters are found by choosing Cuckoo Search Algorithm (CSA) of optimization. The ranges of parameters are customized by z-n method of parameters. Simulation results show the tracking of position of ML systems using conventional and optimized parameters obtained with the CSA based controller.

scholarly journals PERANCANGAN ALAT PENGGERAK ANTENA MENGGUNAKAN METODE KONTROL PROPORTIONAL, INTEGRAL, DERIVATIVE (PID) UNTUK MELACAK OBJEK BERGERAK

Transmisi ◽  
2018 ◽  
Vol 20 (2) ◽  
pp. 71
Author(s):  
Bagus Bernadi Saputra ◽  
Wahyudi Wahyudi ◽  
Sudjadi Sudjadi
Keyword(s):  
Global Positioning System ◽  
Mean Absolute Error ◽  
Absolute Error ◽  
Base Station ◽  
Ground Control ◽  
Positioning System ◽  
Proportional Integral Derivative ◽  
Proportional Integral ◽  
Global Positioning ◽  
Aerial Vehicle

Base station atau Ground Control Station (GCS) umumnya menggunakan antena directional untuk dapat berkomunikasi dengan objek bergerak seperti roket dan Unmanned Aerial Vehicle (UAV). Antena directional memiliki jarak jangkau yang jauh, namun memiliki sudut pancar yang sempit. Untuk mengatasi kekurangan dari antena directional, diperlukan alat yang dapat menggerakkan antena ke arah objek bergerak secara nyata pada kisaran sudut azimut dan elevasi. Pada penelitian ini, dirancang alat penggerak antena menggunakan metode kontrol Proportional, Integral, dan Derivative (PID) untuk melacak objek bergerak berbasis Global Positioning System (GPS) dan sensor barometer. Dari hasil perancangan dengan menggunakan nilai parameter PID yang digunakan pada sudut elevasi (Kp=0,03, Ti=150, dan Td=0,22) menghasilkan plant yang mampu mencapai setpoint (74o) dalam waktu 2 detik. Parameter PID yang digunakan pada sudut azimut (Kp=3,5, Ti=100, dan Td=0,09) menghasilkan plant yang mampu mencapai setpoint (180o) dalam waktu 1,1 detik. Dari hasil pengujian, diketahui antena dapat mengikuti objek bergerak (drone) dengan waktu terlama 1 detik pada plant azimut dan 1,5 detik pada plant elevasi. Plant elevasi memiliki Mean Absolute Error (MAE) = 6,54o dan plant azimut memiliki MAE = 8,04o.

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