PENGATURAN AUTOPILOT LANDING SYSTEM DENGAN OPTIMAL QUADRATIK PREDICTIVE CONTROL (OQPC)
DOI:
https://doi.org/10.29103/techsi.v7i2.198Abstract
Transportasi udara merupakan alat transportasi yang mutakhir dan tercepat dengan jangkauan yang luas dalam kegiatan penerbangan yang paling terpenting adalah faktor keselamatan merupakan syarat utama bagi dunia penerbangan, kebutuhan performance bertujuan memberikan rasa nyaman dan aman ketika proses landing pesawat yang diberikan sebuah trayektori persamaan desired altitude terhadap waktu.dalam penelitian ini untuk autopilot landing system banyak metode pengaturan yang digunakan baik metode pengaturan cerdas, pengaturan adaptif, metode tersebut hanya mengkondisikan bahwa system dalam kondisi ideal kondisi tersebut bertentangan dengan real system kondisi tersebut dipastikan bahwa sebuah loop tertutup terdapat gangguan baik dari dalam sistem (kesalahan proses) maupun dari luar sistem (pengaruh gejala alam). Dengan melihat metode-metode pengaturan yang ada maka dipilihlah metode optimal predictive control untuk mengatur elevator deflection angle. Metode tuning digunakan untuk mencari nilai dari konstanta (Gain) pengontrol optimal (LQR). Penelitian dilakukan dengan cara simulasi. Hasil penelitian menunjukkan bahwa metode pengaturan optimal predictive control dapat mengatur elevator deflection angle dengan atau tanpa penambahan gangguan pada plant. pemilihan kontroler LQR sangat tepat karena aksi control mampu meredam gangguan dari luar system berupa angin yang dibangkitkan dengan menggunakan gaussian distributed random (0,10) dengan dan frekuensi 1 sampai 10 Hz. Metode tuning gain mampu bekerja dengan maksimal sehingga input berupa trayektori landing pesawat dapat diikuti oleh output dari plant dengan baik dengan menghasilkan error absolute sebesar 0.001References
. Zazili,ahmad., Perlindungan Hukum Terhadap Penumpang Pada Transportasi Udara Niaga Berjadwal Nasional, Thesis, Universtas Diponegoro, 2008
. R,Patrick., J.R, Azinheira, Visual Auto-landing of an Autonomous Aircraft, INRIA, France, 2002
. Y.J. Huang and T.C. Kuo, Robust Vertical Takeoff and Landing aircraft Control Via Integral Sliding Mode, IEE Proceedings online, 2003
. M.M. van Paassen, M. Mulder ,J. Groeneweg and R.R.D. Arents, Predictive Landing Guidance in Synthetic Vision Displays, Navigation and Control conference, Chicago, U.S.A., 11 August, 2009.
. Lau, Kevin.,Lopez,R.,Onate,E, Neural Networks For Optimal Control Of Aircraft Landing System, Procedings Of The World Congress On Engineering, London , United Kingdom, 2007.
. Maciejowski,J.M, Multivariable Feedback System, Cambridge University and Pembroke College,Cambridge 1989.
. Yan li., N sundararajan., P saratchandran., Zhifeng wang, Robust neuro-Hˆž controler design for aircraft auto-landing , IEE Transaction On Aerospace And Electronic systems,2004
. Jiang,Xianhua, Motai,Yuichi, Zhu,Xingquan , Predictive Fuzzy Logic Controller for Trajectory Tracking of Mobile Robot, IEEE Mid-Summer Workshop on Soft Computing in Industrial Applications, Espoo, Finland, June 28-30, 2005
. Y. L. Huang, Helen H. Lou, J. P. Gong, and Thomas F. Edgar, Fuzzy Model Predictive Control, IEEE Transaction on Fuzzy Systems, 6, December 2000
.Andr´e S. Fialho, Federico Cismondi, Susana M. Vieira, JoËœao M. C. Sousa, Shane R. Reti, Leo A. Celi, Michael D. Howel and Stan N. Finkelstein, Fuzzy Modeling to Predict Administration of Vasopressors in Intensive Care Unit Patients, IEEE International Conference on Fuzzy Systems, Taipei, Taiwan, June 27-30, 2011
.Radu Bălan, Vistrian Mătieş, Victor Hodor, Olimpiu Hancu, and Sergiu Stan, (2007), Applications of a Model Based Predictive Controlto Heat-Exchangers, Proceeding of The 15th Mediterranian Conference On Control And Automation, Athens-Greece, T27-010.
.Juan M. Marthin Sanchez, Jose Rodellar, (1996), Adaptive Predictive Control: From the Concepts to Plant Optimization, Prentice Hall, London.
Katsuhiko Ogata, Ir. Edi Leksono, Teknik Kontrol Otomatik , jilid II , Penerbit Erlangga, Jakarta, 1993.
Downloads
Published
Issue
Section
License
Authors retain copyright and grant the journal right of first publication and this work is licensed under a Creative Commons Attribution-ShareAlike 4.0 that allows others to share the work with an acknowledgement of the works authorship and initial publication in this journal.
All articles in this journal may be disseminated by listing valid sources and the title of the article should not be omitted. The content of the article is liable to the author.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
In the dissemination of articles by the author must declare the TECHSI Journal as the first party to publish the article.
