Study and Application of Intelligent Sliding Mode Control for Voltage Source Inverters

Abstract

In this paper, an intelligent sliding mode controlled voltage source inverter (VSI) is developed to achieve not only quick transient behavior, but satisfactory steady-state response. The presented approach combines the respective merits of a nonsingular fast terminal attractor (NFTA) as well as an adaptive neuro-fuzzy inference system (ANFIS). The NFTA allows no singularity and error states to be converged to the equilibrium within a finite time, while conventional sliding mode control (SMC) leads to long-term (infinite) convergent behavior. However, there is the likelihood of chattering or steady-state error occurring in NFTA due to the overestimation or underestimation of system uncertainty bound. The ANFIS with accurate estimation and the ease of implementation is employed in NFTA for suppressing the chatter or steady-state error so as to improve the system’s robustness against uncertain disturbances. Simulation results display that this described approach yields low distorted output wave shapes and quick transience in the presence of capacitor input rectifier loading as well as abrupt connection of linear loads. Experimental results conducted on a 1 kW VSI prototype with control algorithm implementation in Texas Instruments DSP (digital signal processor) support the theoretic analysis and reaffirm the robust performance of the developed VSI. Because the proposed VSI yields remarkable benefits over conventional terminal attractor VSIs on the basis of computational quickness and unsophisticated realization, the presented approach is a noteworthy referral to the designers of correlated VSI applications in future, such as DC (direct current) microgrids and AC (alternating current) microgrids, or even hybrid AC/DC microgrids.

An improved robust coupled sliding mode control strategy for solar photovoltaic‐based single‐phase inverters

“…The single slope SMC was upgraded to multiple slope SMC in Khajeh‐Shalaly and Shahgholian 20 by having two regions on the sliding regime, in which two different slopes are considered with multi‐slope function coefficients providing a high speed transient responses. The emergence of intelligent SMC with Fast Terminal SMC (FTSMC) was proposed in Chang, 21 which performed a better dynamic characteristics for uncertain perturbations occurring in the DC‐link voltage. The FTSMC was validated on 1‐kW PV‐based VSI with Adaptive Neuro Fuzzy Inference System (ANFIS) for accurate estimation of the boundary limits 22 .…”

Review on Multi-Objective Control Strategies for Distributed Generation on Inverter-Based Microgrids

“…This performance produce undesired oscillations in regulated variables. In [67], a VSI was regulated by a SMC. Despite the fast transient state and robustness in the steady-state, there is a major problem on the SMC that affects the control law.…”

Effective dynamic disturbance rejection scheme based on higher order sliding mode control for DC-AC inverter under load variation

“…Up to present, many control approaches have been presented in the literature to handle these disturbances which includes, repetitive control, 10 H ∞ control, 9 model predictive control, 11 backstepping control, 12 fuzzy & neural network-based control, 13,14 and sliding mode control (SMC). 4,6,7 Among these control methods, SMC is a more favorable control algorithm for the inverter system because of its inherent switching nature 4 that is compatible with VSI gate switching.…”