ANALYSIS OF HYBRID CONTROL SLIDING MODE CONTROL AND FUZZY LOGIC CONTROLLER TO REDUCTION IN ERROR STEADY STATE TO CONTROL THE CONCENTRATION ON ISOTHERMAL CONTINUOUS STIRRED TANK REACTOR (CSTR)
Abstract
Systems in industry often occur in performance or desired performance. One of them isothermal CSTR system where the system has not been able to work according to the desired set point 1 g.mol / litter, to achieve the set point then used the controller Sliding Mode Control in Hybrid with Fuzzy Logic Controller in identification with FOPDT method to lower the value steady state error. hybrid sliding mode control and fuzzy logic controller has reached the desired set point value of 1 g.mol / litter with settling time 0.7098 sec while sliding mode controller has steady state error 0.0004 g.mol / litter with time steady / settling time 0.7275 seconds
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References
Wikipedia (2019). Reaktor. Wikipedia: https://id.wikipedia.org/wiki/Reaktor (Diakses Senin 10 April 2019)
Vishnoi, V., Padhee, S., Kaur, G. (2012). Controller Performance Evaluation for Concentration Control of Isothermal Continuous Stirred Tank Reactor. International journal of Scientific and Research Publications. Volume 2, issue 6.
Farhad Aslam, F. dan Kaur, G. (2011). Comparative Analysis of Conventional, P, PI, PID and Fuzzy Logic Controllers for the Efficient Control of Concentration in CSTR. International Journal of Computer Applications (0975 – 8887) Volume 17– No.6, March 2011.
Tham, H. J., Ramachandran, K. B. , and Hussain, M. A. (2003). Sliding Mode Control for a Continuous Bioreactor. Department of Chemical Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia.
Apriyadi, B. D.(2017). Perancangan Sliding Mode Controller Untuk Sistem Pengaturan Level dan Flow Dengan Metode Decoupling Pada Plant Coupled Tanks. Jurusan Teknik Elektro Institut Teknologi Sepuluh Nopember , Surabaya, Indonesia.
Decarlo, R. A. and Stainslaw, H. Z. (1988). Variabel Structure Control of Nonlinear Multivariabel System: A Tutorial. Proceedings Of The IEEE. Vol. 76(3). 212-232. 1988.
Slotine, J-J.E., Weiping Li. (1991). Applied Nonlinear Control. Prentice-Hall International, Inc.Hal. 276-284.
Pakpahan, S. (1988). Kontrol Otomatik: Teori dan Penerapan. Erlangga.
Palm, R., Driankov, D., dan Hellendoorn, H. (1997). Model Based Fuzzy Control: Fuzzy Gain Schedulers and Sliding Mode Fuzzy Controllers. Berlin: Springer-Verlag.
Ismanto, W. (2010). Perancangan dan Simulasi Sistem Kontrol Posisi Pada Panel Surya Dengan Menggunakan Metode Fuzzy Sliding Mode Control (FSMC). Teknologi Sepuluh Nopember, Surabaya.
Maryaningsih, B., Hayadi, H., Suryana, E. (2013). Implementasi Logika Fuzzy Dalam Perancangan Sistem Pemngambilan Keputusan Usulan Pemasangan Listrik Berdasarkan Distribusi Bebaln Listrik. Universitas Dehasen, Bengkulu.
Sumarni, A. P. (2009). Pemanfaatan Metode Newton-Raphson Dalam Perancangan Alir Tangki Berpengaduk. Institut Sains & Teknologi AKPRIND, Yogyakarta.
Rivaldi, R. (2017). Tuning Kontrol PID Pada Ole Process Control (OPC) Server Dan Distributed Control System (DCS). Institut Teknologi Sepuluh Nopember (ITS), Surabaya.
Oscar Camacho, O., Rojas, R. (2001). An Approach Of Sliding Mode Control For Deadtime Systems. Universidad de los andes. Venezuela.
Triwiyatno, A. (2015). Buku Ajar Sistem Kontrol Analog. Lembaga Pengembangan dan Penjaminan Mutu Pendidikan UNDIP, Semarang.
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