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All Journal International Journal of Engineering Continuity
Muhammad Hafizd Ibnu Hajar
Universitas Mercubuana
Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology Mechanical Engineering

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The Role of Block Particles Swarm Optimization to Enhance The PID-WFR Algorithm Heru Suwoyo; Abdurohman Abdurohman; Yifan Li; Andi Adriansyah; Yingzhong Tian; Muhammad Hafizd Ibnu Hajar
International Journal of Engineering Continuity Vol. 1 No. 1 (2022): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1157.655 KB) | DOI: 10.58291/ijec.v1i1.37

Abstract

In the conventional Proportional Integral Derivation (PID) controller, the parameters are often adjusted according to the formulas and actual application. However, this empirical method will bring two disadvantages. First, testing the program takes much time and usually needs help to reach the optimal solution. Second, the PID parameters will not adapt to the new environment when the situation changes. This paper proposed a method by employing a Block Particles Swarm Optimization (BPSO) to enhance the conventional Proportional Integral Derivation (PID) algorithm to overcome the mentioned disadvantages. The genetic algorithm (GA) first optimized the PID parameters. However, its optimization time is relatively long. Then, a Block Particle Swarm Optimization (BPSO) algorithm is designed to solve the problem of long optimization time. This method was then applied to the wall-following robot problem by realistically simulating it to confirm the performance. After Compared with conventional methods, the proposed method shows a relatively stable solution.
Co-Authors Abdurohman Abdurohman Andi Adriansyah Suwoyo, Heru Yifan Li Yingzhong Tian