Analysis of adaptive neuro-fuzzy PD controller with competitive Petri layers in speed control system for DC motor

• Autorzy: Derugo P. , Szabat K.
• Języki publikacji: EN

Abstrakty

EN

In the paper the issues related to the application of adaptive neuro-fuzzy controller for speed controller of an electrical motor are considered. Adaptive control structure with reference model (MRAS) is used. The standard controller is modified by the implementation of competitive Petri layers into its internal structure. The proposed modification improves the properties of the drive compared to the control structure with standard neuro-fuzzy controller. Theoretical considerations are confirmed by simulation studies experimental tests done on the laboratory stand.

Słowa kluczowe

EN

adaptive neuro-fuzzy controller; Peri Layers; competitive layers; MRAS

• Wydawca: Wydawnictwo Politechniki Poznańskiej
• Czasopismo: Computer Applications in Electrical Engineering
• Rocznik: 2013
• Tom: Vol. 11
• Strony: 267--280
• Opis fizyczny: Bibliogr. 18 poz., rys., tab.

Twórcy

autor

Derugo P.

• Wrocław University of Technology, 50-372 Wrocław, ul. Smoluchowskiego 19

autor

Szabat K.

• Wrocław University of Technology, 50-372 Wrocław, ul. Smoluchowskiego 19

Bibliografia

• [1] Brock, S., User-friendly design method for fuzzy speed controller for servo drives, Proceedings of the First Workshop on Robot Motion and Control, 1999. RoMoCo '99., 17-21.
• [2] Brock, S., Zawirski, K., New approaches to selected problems of precise speed and position control of drives, IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society, 6291-6296.
• [3] Derugo, P. Dybkowski, M. Szabat, K. , Adaptacyjne wektorowe sterowanie układem napędowym z połączeniem sprężystym, Prace Naukowe Instytutu Maszyn, Napędów i Pomiarów Elektrycznych Politechniki Wrocławskiej. Studia i Materiały Vol. 66, nr 32, t. 2 (2012) 67-76.
• [4] Długosz R., Talaśka T., Pedrycz W., Wojtyna R., Realization of the Conscience Mechanism in CMOS Implementation of Winner-Takes-All Self-Organizing Neural Networks, IEEE Transactions on Neural Networks, Volume: 21, NO. 6, (2010), 961-971.
• [5] Dybkowski, M. Orłowska-Kowalska, T. Kapela, D., Analiza wpływu metody adaptacji regulatora prędkości na właściwości dynamiczne napędu indukcyjnego, Prace Naukowe Instytutu Maszyn, Napędów i Pomiarów Elektrycznych Politechniki Wrocławskiej. Studia i Materiały, Vol. 64, nr 30, (2010), 202-210.
• [6] Henry M., Layer R., Snow K., Zaret D., Evaluating the risk of cyber attacks on scada systems via petri net analysis with application to hazardous liquid loading operations, Technologies for Homeland Security, (2009), 607-614.
• [7] Kamiński, M. Szabat, K., Design of the state controller for the two-mass drive system including the dynamic of the torque control loop, Poznan University of Technology Academic Journals. Electrical Engineering, No. 61, (2010) 89-100.
• [8] Lasota A. Karatkevich A., Modification of Petri nets modeling production processes when quality control is introduced, Przegląd Elektrotechniczny, (2011) R. 87, nr 11, 164-168.
• [9] Łebkowski P., Sieci Petri narzędziem analizy łańcucha dostaw, Logistyka, nr 5, (2007), 395-401.
• [10] Orlowska-Kowalska T., Szabat K., Jaszczak K., The influence of parameters and structure of PI-type fuzzy-logic controller on DC drive system dynamics, Fuzzy Sets and Systems 131 (2002), 251-264.
• [11] Orłowska-Kowalska T., Dybkowski M., Szabat K., Adaptive neuro-fuzzy control of the sensorless induction motor drive system', 12th International Power Electronics and Motion Control Conference EPE-PEMC (2006), 1836-1841.
• [12] Pajchrowski, T. Zawirski, K., Robust Speed Controller of PMSM based on Adaptive Neuro-Fuzzy Inference System, Przegląd Elektrotechniczny, R. 85, nr 8, (2009), 13-17.
• [13] Pajchrowski,T., Zawirski, K., Fuzzy Logic Speed Controller Robust Against Drive Parameters Variation, 2006. EPE-PEMC 2006. 12th International Power Electronics and Motion Control Conference, 332-336.
• [14] Paul, P. Zawirski, K., Odtwarzanie niedostępnych zmiennych stanu napędu z połączeniem sprężystym, Zeszyty Naukowe Wyższej Szkoły Informatyki, Vol. 2, Nr 1, (2003), 69-85.
• [15] Petri C.A., Kommunikation mit Automaten, Schriften des Rheinisch-Westfalischen Insitutes fur Instrumentelle mathematak an der Universitat Bonn, Heft 2, Bonn, Germany (1962); translation: C. F. Greene, supplement 1 to Tech. Rep. RADC-TR- 65-337, Vol. 1, (1965), 89.
• [16] Wai Rong-Jong, Liu Chia-Ming, Robust Control for Linear Induction Motor Servo Drive Using Neural Network Uncertainty Observer, IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 56, NO. 7, JULY (2009), 2667-2683.
• [17] Wai Rong-Jong, Chu Chia-Chin, Motion Control of Linear Induction Motor via Petri Fuzzy Neural Network; IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 54, NO. 1, (2007), 281-295.
• [18] Zawirski, K. Urbanski, K., Application of fuzzy control technique to thyristor DC drive, Proceedings of the IEEE International Symposium on Industrial Electronics, 1997. 1173-1178 vol. 3.