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Pandu Sandi Pratama, Tan-Tung Phan,
       Hak Kyeong Kim, and Sang Bong Kim




                  Presented by :
           Pandu Sandi Pratama


November 11, 2011, Pukyong National University, Korea
International Symposium on Advanced Engineering 2011
Introduction

Dynamic System Modeling
   Dynamics Model of GMAW Power Supply
   Dynamics Model of Wire Feeding Unit (WFU)

Control Method
    Voltage Controller design for GMAW power supply
    Current Controller design for WFU

Simulation Result

Conclusion
GMAW are the most popular welding machine in various industries.




The welding current and voltage are the most decisive factors on the quality
of welding product.

Type of controller :
    PID controller, Fuzzy logic control       Not Robust
    Sliding mode control                      Chattering
                    A new controller is needed.
Based on modeling of GMAW                 Based on dynamics modeling
 power supply (PS-GMAW)                    of wire feeding unit (WFU)


   Proportional controller is             Fuzzy-sliding mode controller
          proposed                            (FSMC) is proposed


     to keep the output                  to change the electrode feed rate
       welding voltage                  to keep the output welding current


                          Good welding result


By fuzzifying the sliding surface, the feedback control gain from the fuzzy
inference rule base can be obtained to avoid chattering phenomenon.
Basic GMAW equipment


                       4                      3
                                2




                                    9                                  1

                           9                      6


                                        +                   9
             7
                                            Is        Us
                                                  5
                   8

1 Shielding gas; 2 DC motor & gear box; 3 electrode wire roll; 4 WFU; 5 PS-GMAW;
   6 Control box; 7 Welding gun or welding torch; 8 workpiece; 9 control cable
Schematic circuit of GMAW
                  +
                                                         High frequency
                                                          transformer
   AC
  220-
  60Hz




                                                                                          Inductor
                   DC
                                                     20kHz
                                                                                                               M

                                                                                CT




                                                                                                                                                Wire feed speed control
                                                                                       + Torch




                                                                                                     Feedback loop voltage

                                                                                                                             Feedback current
                                                                                       50V DC
                                                   Temperature
                                                     sensor
                                                                             - Earth
                  -

                        IGBT1         IGBT2
                                                            DSP           Setting Value
                          Isolated PWM for               TMS320F2812
                         IGBT1 and IGBT2
                                                         Generate and
                      Control      Control duty of PWM   control PWM
                      circuit



Consist of :
    (1) Supply 220VAC /60Hz                         (5) Halfbridge Rectifier;
    (2) Fullbridge Rectifier;                       (6) Inductor;
    (3) Inverter;                                   (7) DC motor ;
    (4) Transformer;                                (8) DSP/Microcontroller;
The main purpose of GMAW power supply is to keep the welding voltage
( ) constant.
The Kirchhoff’s voltage law for welding circuit can be expressed as follows :




   = average output voltage of GMAW power supply (V),
   = resistance of PS (Ω),
   = parasitic resistance in the circuit (Ω),                Welding
                                                             electrode
   = resistance between contact tip and wire (Ω),                           WFU

   = welding current (A)
                                                                 Rn
   = inductance of the GMAW power supply (H)                             Contact tip
        = constant value 14.5 V                   R      P




                                                     L

                                                     Ua
                                                     Ra
                                                              Arc           Work pice
Relationship between melting rate and welding current is usually describe by


The electrode feed-rate      must be equal to the electrode melting-rate
to maintain a stable arc length


Welding current can be expressed as
The dynamic relationship between the electrode feed-rate and the voltage of
a DC servomotor


If  is considered as disturbance of the system, the transfer function
Becomes


                                                  G
                 Vm (s )        b0     W f (s )       1    Iw
                           s2   a1s a0                Ki
When the welding arc is ON and stable, the welding voltage       can be
estimated as follows:

                          output voltage of transformer      is 86V


relationship between the controller   and D
        256 100    256 100            Ua
  Uu            D          2 86 U a            where H= 129/400.
          48          48              H




  where
The state-equation with zero initial values of system can be expressed as follows




The current error   ei   is defined as follows:



In order to obtain a sliding mode controller, a sliding surface is defined as follows:




The Lyapunov’s function is chosen as          V   1 / 2s 2
The sliding mode controller can be drawn from the Lyapunov’s condition:
.
         if              < 0, then decreasing                                                             will result in decreasing of
         if              > 0, then increasing                                                             will result in decreasing of

     Membership function                                                                                               The resulting fuzzy control rule base
                             μs                                                               μs

         N               Z                     P                        N                 Z               P
                                 1                                                                1
                                                                                                                                         P    Z    N
                                                        S                                                          S           P         PB   PM   PS
              -3             0             3                                -3                0       3
                                                                                                                           S   Z         PS   ZE   NS
                                                            μu
                                                                                                                               N         NS   NM   NB
     NB                               NM           NS ZE            PS           PM                       PB
                                                                1


                                                                                                               u
    -6        -5    -4           -3    -2          -1       0       1       2         3           4   5        6


                   Then, apply the Mamdani's mini-
                   operation fuzzy implication and adopt
                   the center of area as defuzzification
                   method to construct the rule set shown
                   as surface.
comparison of the conventional PID controller and the FSMC

      Output current                               Sliding surface




                                  Output voltage
Based on the dynamics models of GMAW, the hybrid controller was
proposed by combining proportional controller and fuzzy sliding mode
controller.

The proposed hybrid controller tracks its setting value and keeps
constant voltage and current of a Gas Metal Arc Welding (GMAW).

Simulation result shows that the performance of rising time, settling
time and steady state error of the output current of GMAW is better
using proposed controller than using conventional PID controller.
Modeling and Hybrid Control of GMAW Dynamics

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Modeling and Hybrid Control of GMAW Dynamics

  • 1. Pandu Sandi Pratama, Tan-Tung Phan, Hak Kyeong Kim, and Sang Bong Kim Presented by : Pandu Sandi Pratama November 11, 2011, Pukyong National University, Korea International Symposium on Advanced Engineering 2011
  • 2. Introduction Dynamic System Modeling Dynamics Model of GMAW Power Supply Dynamics Model of Wire Feeding Unit (WFU) Control Method Voltage Controller design for GMAW power supply Current Controller design for WFU Simulation Result Conclusion
  • 3. GMAW are the most popular welding machine in various industries. The welding current and voltage are the most decisive factors on the quality of welding product. Type of controller : PID controller, Fuzzy logic control Not Robust Sliding mode control Chattering A new controller is needed.
  • 4. Based on modeling of GMAW Based on dynamics modeling power supply (PS-GMAW) of wire feeding unit (WFU) Proportional controller is Fuzzy-sliding mode controller proposed (FSMC) is proposed to keep the output to change the electrode feed rate welding voltage to keep the output welding current Good welding result By fuzzifying the sliding surface, the feedback control gain from the fuzzy inference rule base can be obtained to avoid chattering phenomenon.
  • 5. Basic GMAW equipment 4 3 2 9 1 9 6 + 9 7 Is Us 5 8 1 Shielding gas; 2 DC motor & gear box; 3 electrode wire roll; 4 WFU; 5 PS-GMAW; 6 Control box; 7 Welding gun or welding torch; 8 workpiece; 9 control cable
  • 6. Schematic circuit of GMAW + High frequency transformer AC 220- 60Hz Inductor DC 20kHz M CT Wire feed speed control + Torch Feedback loop voltage Feedback current 50V DC Temperature sensor - Earth - IGBT1 IGBT2 DSP Setting Value Isolated PWM for TMS320F2812 IGBT1 and IGBT2 Generate and Control Control duty of PWM control PWM circuit Consist of : (1) Supply 220VAC /60Hz (5) Halfbridge Rectifier; (2) Fullbridge Rectifier; (6) Inductor; (3) Inverter; (7) DC motor ; (4) Transformer; (8) DSP/Microcontroller;
  • 7. The main purpose of GMAW power supply is to keep the welding voltage ( ) constant. The Kirchhoff’s voltage law for welding circuit can be expressed as follows : = average output voltage of GMAW power supply (V), = resistance of PS (Ω), = parasitic resistance in the circuit (Ω), Welding electrode = resistance between contact tip and wire (Ω), WFU = welding current (A) Rn = inductance of the GMAW power supply (H) Contact tip = constant value 14.5 V R P L Ua Ra Arc Work pice
  • 8. Relationship between melting rate and welding current is usually describe by The electrode feed-rate must be equal to the electrode melting-rate to maintain a stable arc length Welding current can be expressed as The dynamic relationship between the electrode feed-rate and the voltage of a DC servomotor If is considered as disturbance of the system, the transfer function Becomes G Vm (s ) b0 W f (s ) 1 Iw s2 a1s a0 Ki
  • 9. When the welding arc is ON and stable, the welding voltage can be estimated as follows: output voltage of transformer is 86V relationship between the controller and D 256 100 256 100 Ua Uu D 2 86 U a where H= 129/400. 48 48 H where
  • 10. The state-equation with zero initial values of system can be expressed as follows The current error ei is defined as follows: In order to obtain a sliding mode controller, a sliding surface is defined as follows: The Lyapunov’s function is chosen as V 1 / 2s 2 The sliding mode controller can be drawn from the Lyapunov’s condition:
  • 11. . if < 0, then decreasing will result in decreasing of if > 0, then increasing will result in decreasing of Membership function The resulting fuzzy control rule base μs μs N Z P N Z P 1 1 P Z N S S P PB PM PS -3 0 3 -3 0 3 S Z PS ZE NS μu N NS NM NB NB NM NS ZE PS PM PB 1 u -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6 Then, apply the Mamdani's mini- operation fuzzy implication and adopt the center of area as defuzzification method to construct the rule set shown as surface.
  • 12.
  • 13. comparison of the conventional PID controller and the FSMC Output current Sliding surface Output voltage
  • 14. Based on the dynamics models of GMAW, the hybrid controller was proposed by combining proportional controller and fuzzy sliding mode controller. The proposed hybrid controller tracks its setting value and keeps constant voltage and current of a Gas Metal Arc Welding (GMAW). Simulation result shows that the performance of rising time, settling time and steady state error of the output current of GMAW is better using proposed controller than using conventional PID controller.