Implementasi Fuzzy Logic Control Untuk Pemberi Pakan Ayam Otomatis Pada Ayam Broiler Dengan Menggunakan Teknologi IoT

Implementasi Metode Fuzzy Logic Control Untuk Pemberian Makan Ayam Broiler Secara Otomatis Menggunakan Teknologi Internet of Things; Husyainus Sobri, 172410102013, 2021, Program Studi Teknologi Informasi, Fakultas Ilmu Komputer, Universitas Jember. Ayam broiler atau disebut juga ayam pedaging merupakan ayam ras unggul hasil persilangan dari bangsa ayam yang memiliki produktivitas tinggi terutama dalam menghasilkan daging ayam. Ayam broiler merupakan hasil persilangan dan sistem lestari sehingga kualitas genetiknya dapat dikatakan baik. Kualitas genetik yang baik akan muncul secara optimal jika ayam diberikan faktor lingkungan yang mendukung, misalnya pemberian pakan yang baik agar ayam terhindar dari kematian dan kekurangan bobot ayam. Penggunaan teknologi dalam pemberian pakan ayam merupakan cara yang efektif untuk meningkatkan kualitas ayam yang baik dan menghindari kematian ayam. Teknologi yang digunakan dapat mengatur waktu makan secara otomatis dan memberi makan yang sesuai. Untuk membuat teknologi bekerja secara otomatis, diperlukan metode pengambilan keputusan. Salah satu metode yang cocok adalah Fuzzy Logic Control. Metode Fuzzy Logic Control dapat mengatasi keragaman parameter feeding untuk mengambil keputusan.

Implementation of new hybrid evolutionary algorithm with fuzzy logic control approach for optimization problems

The main purpose of using the hybrid evolutionary algorithm is to reach optimal values and achieve goals that traditional methods cannot reach and because there are different evolutionary computations, each of them has different advantages and capabilities. Therefore, researchers integrate more than one algorithm into a hybrid form to increase the ability of these algorithms to perform evolutionary computation when working alone. In this paper, we propose a new algorithm for hybrid genetic algorithm (GA) and particle swarm optimization (PSO) with fuzzy logic control (FLC) approach for function optimization. Fuzzy logic is applied to switch dynamically between evolutionary algorithms, in an attempt to improve the algorithm performance. The HEF hybrid evolutionary algorithms are compared to GA, PSO, GAPSO, and PSOGA. The comparison uses a variety of measurement functions. In addition to strongly convex functions, these functions can be uniformly distributed or not, and are valuable for evaluating our approach. Iterations of 500, 1000, and 1500 were used for each function. The HEF algorithm’s efficiency was tested on four functions. The new algorithm is often the best solution, HEF accounted for 75 % of all the tests. This method is superior to conventional methods in terms of efficiency

Lifting and stabilizing of two-wheeled wheelchair system using interval type-2 fuzzy logic control based spiral dynamic algorithm

The current study emphasizes on improving an interval type-2 fuzzy logic control (IT2FLC) system through the use of spiral dynamics algorithm (SDA) optimization in stabilizing a transformational two-wheeled wheelchair. The main contribution of this research is to reduce vibrations while performing the lifting and stabilization of a wheelchair from its standard four-wheeled to two-wheeled transformation. IT2FLC based SDA was used to enhance the system’s stability performance by obtaining the optimized value for input and output controller gains and IT2FLC parameters for IT2FLC. System modeling was done through development within the SimWise 4D software environment, which was then integrated with MATLAB/SIMULINK for control purposes. The proposed algorithm has demonstrated improved tilt angle performance with reduced noise and lower torque when various disturbances were applied, as compared to a system solely controlled by IT2FLC without any optimization. Moreover, the proposed algorithm has also comprehensively outperformed previous controllers in terms of system’s stability, further demonstrated its superiority as a system controller within transformational wheelchairs.

Performance Analysis of Diode Clamped Five-Level Inverter integrated PV Grid system using Soft computing based MPPT Scheme

This paper focuses on diode clamped five-level inverter for the application of PV system. Carrier based phase disposition method is adopted for control of inverter switches. The five-level diode clamped integrated to grid connected PV system is considered for the performance evaluation. The PI controller is adopted for the regulation of DC voltage. The Fuzzy Logic Control (FLC) based MPPT scheme is used to track the maximum power from the PV panel. The performance indices including PV current, DC link voltage and %THD of diode clamped inverter based grid connected PV system is compared with conventional two-level Inverter. The proposed work is carried out in the environment of Matlab/Simulink. Keywords: Diode clamped five-level inverter, FLC MPPT, Two-level voltage source inverter, PWM, THD, PV, Grid.