Browsing by Author "Shyam Krishna Nagar"

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Controlling of non-minimum phase system using harmony search algorithm
(Springer Verlag, 2019) Vivek Kumar Jaiswal; Anurag Singh; Shekhar Yadav; Shyam Krishna Nagar
In this paper, a non-minimum phase system with dead time is controlled by intending the optimized proportional, integral, and derivative controller (PIDC). A system problem is formulated to the non-minimum phase system in which zeroes in the right half-plane (RHP) make system insignificant as delay raises. To enhance the system performance, the factors of the conventional PIDC are optimized by a heuristic algorithm (HA), chosen harmony search (HS). HA, copying the invention of music players, chosen harmony search algorithm (HSA). The HSA looks to acquire a global optimal magnitude of the conventional PIDC and genetic algorithm (GA) in the area portrayed by the regular PID controller and GA. The simulation results demonstrate the transient responses such as settling, rise, peak time, undershoot, and overshoot. Thus to optimized the parameters by minimizing integral square error (ISE) of the given system is improved by the proposed method. © Springer Nature Singapore Pte Ltd. 2019.
Improved Stability Criteria for Time-Varying Delay System Using Second and First Order Polynomials
(Institute of Electrical and Electronics Engineers Inc., 2020) Sharat Chandra Mahto; Rajvikram Madurai Elavarasan; Sandip Ghosh; R.K. Saket; Eklas Hossain; Shyam Krishna Nagar
This article concerns the problem of stability analysis of systems with time-varying delay. Recent developments in this direction involves approximation of a second order polynomial function of time-delay. This article proposes a new Lyapunov-Krasovskii Functional that does not introduce the second-order polynomial and thereby avoid the approximation involved in obtaining the stability criterion. Two stability criterion are presented, one introduces the second-order polynomial and the other one does not. A comparison using numerical examples shows that the avoidance of second-order polynomial formulation leads to improved results. © 2013 IEEE.