On The Comparison of Fuzzy Logic and State Space Averaging based Sliding Control Methods Applied onan Arc Welding Machine
In this study, the performance of a high-frequency arc
welding machine including a two-switch inverter is analyzed. The
control of the system is achieved using two different control
techniques i- fuzzy logic control (FLC) ii- state space averaging
based sliding control. Fuzzy logic control does not need accurate
mathematical model of a plant and can be used in nonlinear
applications. The second method needs the mathematical model of
the system. In this method the state space equations of the system are
derived for two different “on" and “off" states of the switches. The
derived state equations are combined with the sliding control rule
considering the duty-cycle of the converter. The performance of the
system is analyzed by simulating the system using SIMULINK tool
box of MATLAB. The simulation results show that fuzzy logic
controller is more robust and less sensitive to parameter variations.
[1] "Sliding Mode Control of a Heat Equation with application to Arc
Welding", Sergey Drakunov, Enrique Barbieri and David A. Silver
Department of Electrical Engineering and Computer Science Tulane
University New Orleans, USA, IEEE September 15-18, 1996.
[2] L. Malesani, P. Mattavelli, L. Rossetto, P. Tenti, W. Marin, A. Pollmann
"Electronic Welder with High-Frequency Resonant Inverter" IEEE
Trans. on Industry App., vol. 31, No. 2, March/April 1995.
[3] Paolo Mattaveli "General-Purpose Fuzzy Controller for dc-dc
Converters" IEEE Transactions on PE, vol, 12, No, 1, January 1997.
[4] Hiroto Terashi, Isaac Cohen and Tamotsu Ninomiya "Stability and
Dynamic Response Improvement of Flyback DC-DC Converter by a
Novel Control Scheme" IEEE 0-7803-7404-5/02, 2002, pp. 389-394.
[5] R. Lowen, M. Roubens "Fuzzy Logic State of the Art", Kluwer
Academic Press, Amesterdam, 1993.
[6] J. Mahdavi, A. Emadi, H.A. Toliyat, Aplication of State Space
Averaging Method to Sliding Mode Control of PWM DC/DC
Converters, IEEE Industry Applications Society, Annual Meeting,
October, 1997.
[1] "Sliding Mode Control of a Heat Equation with application to Arc
Welding", Sergey Drakunov, Enrique Barbieri and David A. Silver
Department of Electrical Engineering and Computer Science Tulane
University New Orleans, USA, IEEE September 15-18, 1996.
[2] L. Malesani, P. Mattavelli, L. Rossetto, P. Tenti, W. Marin, A. Pollmann
"Electronic Welder with High-Frequency Resonant Inverter" IEEE
Trans. on Industry App., vol. 31, No. 2, March/April 1995.
[3] Paolo Mattaveli "General-Purpose Fuzzy Controller for dc-dc
Converters" IEEE Transactions on PE, vol, 12, No, 1, January 1997.
[4] Hiroto Terashi, Isaac Cohen and Tamotsu Ninomiya "Stability and
Dynamic Response Improvement of Flyback DC-DC Converter by a
Novel Control Scheme" IEEE 0-7803-7404-5/02, 2002, pp. 389-394.
[5] R. Lowen, M. Roubens "Fuzzy Logic State of the Art", Kluwer
Academic Press, Amesterdam, 1993.
[6] J. Mahdavi, A. Emadi, H.A. Toliyat, Aplication of State Space
Averaging Method to Sliding Mode Control of PWM DC/DC
Converters, IEEE Industry Applications Society, Annual Meeting,
October, 1997.
@article{"International Journal of Electrical, Electronic and Communication Sciences:64518", author = "İres İskender and Ahmet Karaarslan", title = "On The Comparison of Fuzzy Logic and State Space Averaging based Sliding Control Methods Applied onan Arc Welding Machine", abstract = "In this study, the performance of a high-frequency arc
welding machine including a two-switch inverter is analyzed. The
control of the system is achieved using two different control
techniques i- fuzzy logic control (FLC) ii- state space averaging
based sliding control. Fuzzy logic control does not need accurate
mathematical model of a plant and can be used in nonlinear
applications. The second method needs the mathematical model of
the system. In this method the state space equations of the system are
derived for two different “on" and “off" states of the switches. The
derived state equations are combined with the sliding control rule
considering the duty-cycle of the converter. The performance of the
system is analyzed by simulating the system using SIMULINK tool
box of MATLAB. The simulation results show that fuzzy logic
controller is more robust and less sensitive to parameter variations.", keywords = "Fuzzy logic, arc welding, sliding state space control,PWM, current control.", volume = "1", number = "8", pages = "1213-6", }