Leakage of oil from pipelines and oil tankers into seas and oceans is ecologically important and can have significant social and economic impacts on the environment. An early detection of deliberate or accidental oil spills can reduce serious hazards that may threaten coastal residents and help identify pollutants. Iran has been surrounded by seas from the north and the south and they provide us with valuable natural resources, in general, and oil reserves in particular. Besides, the seas are where oil is mined and oil tankers pass. Therefore, protecting the seas against oil contamination is essential. Due to the vastness of seas and the need for early detection of contamination source, modern methods must be employed to prevent excessive environmental damage. Unfortunately, a few studies have been conducted on it to date. In the present study, a number of robots controlled by the Fuzzy Particle Swarm Optimization (FPSO) algorithm were used to discover the source of contamination. In this paper a z coefficient was added to FPSO algorithm derived from fuzzy logic and contamination condition. This z coefficient informed the velocity of particles in a PSO model. We showed that using a fuzzy logic can improve the treatment of standard PSO algorithm in detecting oil contamination. تفاصيل المقالة

Designing of a PID controller is a very common method for industrial process control and due to its very simple and efficient function; it is used in a wide variety of industrial applications. PID controller to reduce the steady state error and dynamic response of the system is used. PID controller design is an inevitable problem in setting the coefficients need to try a lot of trial and error, therefore the optimization of parameters in this controller is attention of many researcher and there are many methods to find optimal parameters of PID controller. Fast and exactly adjustment of the parameters optimized controller is to create high quality answers. In this paper, an optimized tuning method for PID controller is presented. In this method the PSO algorithm is used to design the parameters of an AVR (Automatic Voltage Regulation) system using various fitness functions. Easy implementation, stable convergence characteristic and high computational efficiency are among advantages of presented method. تفاصيل المقالة