Design and analysis of hybrid PSO–GSA tuned PI and SMC controller for DC–DC Cuk converter

Abstract

In this Letter, a hybrid particle swarm optimisation and gravitational search algorithm (PSO-GSA) to tune the parameters of proportional-integral (PI) controller operating in cascade with sliding mode controller (SMC) is proposed for the design of Cuk converter for low-voltage electric vehicle application. The PI controller in the outer loop regulates the voltage and SMC in the inner loop regulates the current of converter operating in continuous conduction mode. The main objective of Cuk converter with PSO-GSA tuned PI & SMC controller is to track the reference voltage amidst disturbances, and to reduce the performance indices such as integral absolute error (IAE) and integral time absolute error. Initially, PI controller was tuned using Routh Hurwitz and root locus method. Then to improve its steady-state performance index, PSO-GSA technique is applied to tune the proportional and integral gains. To validate the effectiveness of the proposed scheme, the performance indices such as IAE, integral squared error was measured and compared. The results obtained reveal that IAE is reduced to minimal value and the solution converges at a faster rate with the proposed controller than the conventional control methods. Moreover, the stability analysis was carried out using the Lyapunov method of stability.

Optimization of DC‐link voltage regulator using Bat algorithm for proportional resonant controller‐based current control of shunt active power filter in distribution network

“…BA outperforms other optimization algorithms for the same initial population. [22][23][24][25] The BA-based optimal search comprises of two processes namely exploration and exploitation. Exploration discovers a new solution, whereas exploitation directs the F I G U R E 1 0 MATLAB/Simulink waveforms of A, source voltage, B, source current, C, injected filter current, D, dc-link capacitor voltage search in the neighborhood of the existing solutions.…”

Robust Control Design Procedure Based on Particle Swarm Optimization and Kharitonov’s Theorem with an Application for PMSMs

“…where C is the search space defined in the next subsection. It is worth to mention that different objective functions could be defined to guide the control design task, as those used in [7], [10], [29]. The specifications in (14) were chosen here considering traditional performance constrains used in practice in power electronics (e.g., PM, GM, ω co ).…”

“…PSO is a bio-inspired algorithm proposed in [6], based on intelligent swarms, where the collective behavior of nonsophisticated agents creates global functional patterns, and it has already been used in control of power converters [7], [10]- [13].…”

“…In the context of PSO applied to tune fixed gain controllers for power converters, this strategy was used, for instance, in [7], [10]- [13], mainly to design PI and PID controllers. The optimization by PSO is guided by an objective function.…”

“…The optimization by PSO is guided by an objective function. For instance, [10]- [12] aim on time domain specifications, while [7], [13] aim on frequency domain specifications. A common point in these works is not exploring simultaneously time and frequency domain criteria for tuning controllers.…”