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Grey Wolf Optimizer Based PID Controller for Speed Control of BLDC Motor
Dutta Pallav,Nayak Santanu Kumar 대한전기학회 2021 Journal of Electrical Engineering & Technology Vol.16 No.2
A BLDC motor is superior to a brushed DC motor, as it replaces the mechanical commutation unit with an electronic one; hence improving the dynamic characteristics, effi ciency and reducing the noise level marginally. Maximum BLDC motor drives use PID controller to control the speed of the machine; because it is simple in structure, relatively cheaper and exhibits good performance. But the main problem associated with PID controller is adjusting its parameters during implementation. In recent works, it has been observed that Particle Swarm Optimization (PSO) technique showed good performance in tuning PID controller. For this purpose, in this article, “Grey Wolf Optimization” (GWO) algorithm is introduced; which is used to optimally tune the PID controller parameters. The objective of this article is to compare the results obtained for tuning of PID controller based on of GWO and PSO technique and a conclusion has been derived that the proposed approach yields superior dynamic performance for BLDC motor.
Estimations of Zeros of a Polynomial Using Numerical Radius Inequalities
Bhunia, Pintu,Bag, Santanu,Nayak, Raj Kumar,Paul, Kallol Department of Mathematics 2021 Kyungpook mathematical journal Vol.61 No.4
We present new bounds for the numerical radius of bounded linear operators and 2 × 2 operator matrices. We apply upper bounds for the numerical radius to the Frobenius companion matrix of a complex monic polynomial to obtain new estimations for the zeros of that polynomial. We also show with numerical examples that our new estimations improve on the existing estimations.