Comparison of PID and Fuzzy Controller for Position Control of AR.Drone

被引:0
|
作者
Prayitno, A. [1 ]
Indrawati, V. [1 ]
Trusulaw, I. I. [1 ]
机构
[1] Univ Surabaya UBAYA, Elect Engn Dept, Surabaya 60293, East Java, Indonesia
关键词
D O I
10.1088/1757-899X/190/1/012006
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper describes the implementation of the PID Controller to control the position of the AR. Drone in the x-y-z. This position control scheme uses three PID controllers to maintain the position of x, y and z using the signal control pitch, roll and vertical rate. PID Controller implemented on AR. Drone 2.0 and then tested in an indoor space. The performance of the controller will be compared with Fuzzy Logic Controller schemes that have been implemented previously. The results show that the PID Controller generate a response with rise time less than 3 seconds at the x and y position with around 25% overshoot. The result for z position give better result without overshoot. The comparison between fuzzy logic and PID Controller indicates that the results of the PID controller is better although there is overshoot.
引用
收藏
页数:6
相关论文
共 50 条
  • [41] Designing PID Controller for Position Control with Disturbance
    Zaber, N. Mohamad
    Ishak, A. J.
    Soh, A. Che
    Hassan, M. K.
    Abidin, Z. Zainal
    2015 2ND INTERNATIONAL CONFERENCE ON COMPUTER, COMMUNICATIONS, AND CONTROL TECHNOLOGY (I4CT), 2015,
  • [42] PMSM Position Control with a SUI PID Controller
    Abu El-Sebah, Mohamed I.
    JOURNAL OF POWER ELECTRONICS, 2010, 10 (02) : 171 - 175
  • [43] COMPARISON OF THE PERFORMANCE OF A FUZZY CONTROLLER WITH A PID CONTROLLER FOR A HEATING PROCESS
    WONG, YK
    RAD, AB
    MICROPROCESSORS AND MICROSYSTEMS, 1994, 18 (07) : 401 - 407
  • [44] Trajectory generation and tracking using the AR.Drone 2.0 quadcopter UAV
    Velez, Pedro
    Certad, Novel
    Ruiz, Elvis
    2015 12TH LATIN AMERICAN ROBOTICS SYMPOSIUM AND 2015 3RD BRAZILIAN SYMPOSIUM ON ROBOTICS (LARS-SBR), 2015, : 73 - 78
  • [45] Comparison of PID and Fuzzy Controller for Path Tracking Control of Autonomous Electrical Vehicles
    Zennir, Youcef
    Allou, Sami
    PROCEEDINGS 2018 3RD INTERNATIONAL CONFERENCE ON ELECTRICAL SCIENCES AND TECHNOLOGIES IN MAGHREB (CISTEM), 2018, : 579 - 584
  • [46] AR.Drone: security threat analysis and exemplary attack to track persons
    Samland, Fred
    Fruth, Jana
    Hildebrandt, Mario
    Hoppe, Tobias
    Dittmann, Jana
    INTELLIGENT ROBOTS AND COMPUTER VISION XXIX: ALGORITHMS AND TECHNIQUES, 2012, 8301
  • [47] Railway Track Following with the AR.Drone Using Vanishing Point Detection
    Pall, Elod
    Mathe, Koppany
    Tamas, Levente
    Busoniu, Lucian
    2014 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION, QUALITY AND TESTING, ROBOTICS, 2014,
  • [48] Vision Based Ground Object Tracking Using AR.Drone Quadrotor
    Chi-Tinh Dang
    Hoang-The Pham
    Thanh-Binh Pham
    Nguyen-Vu Truong
    2013 INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND INFORMATION SCIENCES (ICCAIS), 2013,
  • [49] Observer-based Time-varying Backstepping Control for Parrot's AR.Drone 2.0
    Santiaguillo-Salinas, J.
    Rosaldo-Serrano, M. A.
    Aranda-Bricaire, E.
    IFAC PAPERSONLINE, 2017, 50 (01): : 10305 - 10310
  • [50] Laboratory ABS Control: Fuzzy or PID Controller?
    Rosinova, Danica
    Kozakova, Alena
    PROCEEDINGS OF THE 2020 30TH INTERNATIONAL CONFERENCE CYBERNETICS & INFORMATICS (K&I '20), 2020,