In this research work, the optimized Fibonacci, Thue-Mors, and Gaussian-based aperiodic arrays of plasmonic nanoparticles were studied to improve the performance of thin perovskite solar cells. Here, the effect of different types of deterministic aperiodic plasmonic arrays on the optical properties of perovskite absorbers is analyzed. At first, different polytypes of perovskite material consistent (C6H5C2H4NH3)2PbI4, CH3NH3FeI2Br, CH3NH3FeI3, CH3NH3PbBr3, CH3NH3PbCl3, and CH3NH3PbI3 as the active layer of a solar cell were analyzed. The results show that CH3NH3PbI3 has higher absorption spectra than other cases. Then, different types of metals (Ag, Au, Cu, Al) as the form of periodic arrays are simulated and Ag was selected to form our arrays according to the Fibonacci, Thue-Mors, Gaussian, and periodic array arrangement. To form such arrays, 36 nanoparticles per cell were used and the effect of network constant (closest distance between the nanoparticles) was evaluated. Our results confirm that all cases of the Fibonacci, Thue-Mors, and Gaussian arrangement improve the photocurrent, while the photocurrent of the Thue-Mors arrangement is higher than in other cases. These findings reveal that it is possible to improve the performance of perovskite solar cells using a realistic plasmonic array.