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Application of genetic algorithm to external noise cancellation and compensation in automatic arc welding system

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Abstract

This paper develops an automatic welding control system which uses a genetic algorithm to carry out external noise cancellation and compensation. In the proposed approach, the genetic algorithm is used to identify the polynomial form or parameters of the external force or disturbance, including the amplitude, frequency and phase to compensate for nonlinear phenomenon such as disturbance in the mechanical system. In compensating for the nonlinear phenomenon, a piecewise linearization of the approximation polynomial is performed and the genetic algorithm optimization process is then used to identify the parameters of the polynomial function. The simulation and experimental results confirm that the proposed automatic welding control system provides an effective means of compensating for the effects of the external force or disturbance and therefore results in an enhanced welding performance.

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Abbreviations

a :

Friction damping coefficient of electrode feed-rate mechanism

se :

Steady state error

r :

Reference input

y :

System output

na :

Number of poles of ARX model to be identified

nb :

Number of zeros plus one of ARX model to be identified

nk :

Identification delay

J :

Total inertia of electrode feed-rate mechanism

k i :

Coefficient ratio of melting rate to arc current

k u :

Coefficient ratio of melting rate to arc voltage

v f :

Electrode feed rate

v m :

Electrode melting rate

K d :

Derivative gain of PID controller

K i :

Integral gain of PID controller

K p :

Proportional gain of PID controller

K u :

Oscillation gain at stability limit under P-controller

K t :

Motor constant of electrode feed-rate mechanism

T u :

Period of oscillation at stability limit under P-controller

U a :

Arc voltage

C(s):

Controller of welding control system

E(s):

Error signal of reference input I r (s) and welding current I a .

G(s):

Control plant of welding control system

H(s):

Current sensor of welding control system

U(s):

Output signal of current controller

I a (s):

Transfer-function of arc current I a of welding control system

I r (s):

Transfer-function of reference input I r (s)of welding control system

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Authors and Affiliations

  1. Department of Mechanical Engineering, National Central University, Chung-Li, 320, Taiwan

    Cheng-Yu Wu & Pi-Cheng Tung

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  1. Cheng-Yu Wu
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  2. Pi-Cheng Tung
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Correspondence to Pi-Cheng Tung.

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Wu, CY., Tung, PC. Application of genetic algorithm to external noise cancellation and compensation in automatic arc welding system. J Intell Manuf 19, 249–256 (2008). https://doi.org/10.1007/s10845-008-0078-4

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