2020
DOI: 10.18280/jesa.530201
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Optimal Tuning of Fractional Order Proportional-Integral-Derivative Controller for Wire Feeder System Using Ant Colony Optimization

Abstract: The goal of this work is to present a robust optimal control approach, in order to improve the speed error-tracking and control capability of a permanent magnet DC Motor (PMDC) driven wire-feeder systems (WFSs) of gas metal arc welding (GMAW) process. The proposed speed controller employs an optimized fractional-order-proportional+integral+derivative (FOPID) controller that serves to eliminate oscillations, overshoots, undershoots and steady state fluctuations of the PMDC motor and makes the wire-feeder unit (… Show more

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Cited by 24 publications
(20 citation statements)
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“…There are literatures related to the tuning methods of PI controllers [27][28][29][30][31]. The objective all are same to assess the relative control effort and robustness of these PI controllers when tuned for the same level of performance.…”
Section: Tuning Of Controllers: a Surveymentioning
confidence: 99%
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“…There are literatures related to the tuning methods of PI controllers [27][28][29][30][31]. The objective all are same to assess the relative control effort and robustness of these PI controllers when tuned for the same level of performance.…”
Section: Tuning Of Controllers: a Surveymentioning
confidence: 99%
“…The resultant is compared with actual currents and processed through PI controllers. Control or reference voltages are generated by comparing the output of PI controller and output of PLL [29,30]. Gating signals are obtained for the devices by comparing these reference/control voltage signals with triangular carrier waves.…”
Section: Design Of Controller (Upc)mentioning
confidence: 99%
See 1 more Smart Citation
“…For this reason, a small research was presented on a switching-table-based direct torque control of multiphase drives [7]. Due to the parametric sensitivity of PID regulator, minimal research has been done to avoid this inconvenient such as in the papers [11][12][13], to solve these problems, the use of a non-linear technique is essential, among them the fuzzy logic, which considered one of the most successful artificial intelligence technique for controlling nonlinear systems, sliding mode control (SMC) which ensuring good system and robustness to external disturbance and parametric variations [14][15][16].…”
Section: Introductionmentioning
confidence: 99%
“…+ is the order of the filter, wb and wh are the low and high transient-frequencies, respectively. Consider the following autonomous system[54]:…”
mentioning
confidence: 99%