Scipediacontent: Scipediacontent moved page Review 548020700318 to Waseem et al 2026a

2026-05-18T08:32:31Z

Scipediacontent moved page Review 548020700318 to Waseem et al 2026a

Scipediacontent: Scipediacontent moved page Draft content 891228250 to Review 548020700318

2026-05-18T08:20:21Z

Scipediacontent moved page Draft content 891228250 to Review 548020700318

Scipediacontent: Created page with " == Abstract ==
DC motors are frequently utilized in industrial and automation applications where accurate speed control is crucial. Although conventional Proportional-Int..."

2026-05-18T08:20:17Z

Created page with " == Abstract == <p>DC motors are frequently utilized in industrial and automation applications where accurate speed control is crucial. Although conventional Proportional-Int..."

New page

== Abstract ==

<p>DC motors are frequently utilized in industrial and automation applications where accurate speed control is crucial. Although conventional Proportional-Integral-and Derivative (PID) controllers are widely utilized, their constant gain values make them less effective in managing dynamic loads and disturbances. It’s difficult to get optimal transient and steady-state performance with traditional PID tuning methods. To overcome these limitations, more adaptable and dependable control systems are needed. This study introduces a novel control strategy by optimizing a Fractional-Order PID (FOPID) controller using the Ant Lion Optimization (ALO) method. Mathematical modeling is used to determine the DC motor’s transfer function. An ALO, a metaheuristic algorithm, is then implemented to improve five FOPID parameters using Integral Timeweighted Absolute Error (ITAE). The simulation is done in MATLAB-Simulink software. According to the findings, the enhanced ALO-FOPID controller decreased settling time (0.0728 s) and rising time (0.0455 s) when compared to the PID controller, which is taken as a reference. It is noted that the proposed ALO-tuned FOPID demonstrated enhanced response over the conventional methods, demonstrating the usefulness of bioinspired algorithms for precision control applications. The comparison of the proposed methodology is also done with other studies during different operating conditions. The results show that intelligent optimizationbased control in industrial systems is feasible, which aids in the creation of reliable and flexible automation solutions.</p>

== Document ==
<pdf>Media:Draft_content_891228250-1242-document.pdf</pdf>

← Older revision	Revision as of 08:32, 18 May 2026
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Waseem et al 2026a - Revision history

Scipediacontent: Scipediacontent moved page Review 548020700318 to Waseem et al 2026a

Scipediacontent: Scipediacontent moved page Draft content 891228250 to Review 548020700318

Scipediacontent: Created page with " == Abstract == DC motors are frequently utilized in industrial and automation applications where accurate speed control is crucial. Although conventional Proportional-Int..."

Scipediacontent: Created page with " == Abstract ==
DC motors are frequently utilized in industrial and automation applications where accurate speed control is crucial. Although conventional Proportional-Int..."