An optimized relation between T&lt;inf&gt;i&lt;/inf&gt; and T&lt;inf&gt;d&lt;/inf&gt; in Modified Ziegler Nichols PID controller tuning

Yadaiah, N.; Malladi, Srikanth

doi:10.1109/cca.2013.6662928

Cited by 10 publications

(1 citation statement)

References 6 publications

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“…, are tuned to obtain desired output from the controlled process [6]. There are several classical approaches to tune the PID controller namely Ziegler-Nichols [7], Cohen-Coon [8], Chien-Hrones-Reswick [9], Astrom and Hagglund [10]. However, these conventional methods typically consume a great deal of time as tuning of parameters must be done iteratively until optimal solution is obtained [11] and results in undesirable overshoot [12].…”

Section: Introductionmentioning

confidence: 99%

PID speed control of DC motor using meta-heuristic algorithms

Acharya

Dhakal

Bhattarai

et al. 2021

IJPEDS

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This paper presents archimedes optimization algorithm(AOA) and dispersive flies optimization(DFO) to optimally tune gain parameters of PID control scheme in order to regulate DC motor’s speed. These suggested techniques tune the controller by the minimization of the fitness function represented by the integral of time multiplied by absolute error (ITAE). The modelling and simulation are carried out in MATLAB/Simulink. The transient response of unit step input obtained from AOA-PID-ITAE andDFO-PID-ITAE controllers were compared to those obtained from Ziegler-Nichols (ZN) method and particle swarm optimization(PSO). The results indicate that AOA-PID-ITAE and DFO-PID-ITAE are more efficient than ZN method and PSO in reducing rise time and settling time. Likewise, DFOconverge faster to the optimal solution with lower overshoot than AOA and PSO.

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Section: Introductionmentioning

confidence: 99%