Keywords = PID

A GWO-PID controller with advanced optimization features for DC-DC converters

Volume 16, Issue 4, Autumn 2023, Pages 228-232

https://doi.org/10.30772/qjes.2023.180482

Muhanad D. Hashim Almawlawe, Hassan H. Naji, Al-Sharify Mushtaq Talib, Wali H. Wali

Abstract This work seeks to use both traditional control algorithms and advanced optimization algorithms to enhance the performance of a DC-DC converter. The chosen algorithm was Proportional-Integral-Derivative (PID) based on gray wolf optimization (GWO). The PID controller is known for its ease of control and wide range of industrial applications. This type of controller has been used successfully in many types of systems, such as power electronics, automation systems, robotics, etc., due to its ability to effectively optimize the system's parameters with minimal effort from the user. To test this new technique on a DC-DC converter different simulations were conducted using MATLAB environment where various parameters were set that can simulate various uses for the DC-DC converter within electrical systems. After conducting these tests it was found that PID based on GWO controller had good performance (rise time 0.0004 sec, settling time 0.0001sec) when compared with other traditional controllers (rise time 0.00416 sec, settling time 0.000323sec), reliability, efficiency higher accuracy, low cost, etc. As expected GWO showed better results than conventional methods like PID or PI controllers due to the fact that it’s an evolutionary approach that allows more flexibility during the configuration process.

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OPTIMAL PID CONTROLLER OF POSITION TRACKING DC SERVOMOTOR CONTROL BASED PARTICLE SWARM OPTIMIZATION

Volume 9, Issue 4, Autumn 2016, Pages 450-460

Ahmed Jasim Sultan

Abstract ABSTRACT In this work, a Particle Swarm optimization (PSO) algorithm is proposed to obtain optimal PID controller parameters of a DC servomotor drive. This work has a very important issue due to a wide range employed in various servomechanisms. The proposed approach has superior feature, flexible execution, stable convergence characteristic, and high-quality solution efficiency. The simulation results using MATLAB 2014a environment show that the proposed objective function provides more proficient in improving dynamic response, better convergence, and fast response than the other methods based on maximum overshoot, rise time, and settling time of system step response.

ANDRIOD-BASED REMOTLEY ACCESSED PLC CONTROL SYSTEMS

Volume 9, Issue 4, Autumn 2016, Pages 503-515

SMIEEE, Ali Ahmed Abed

Abstract The evolution of the Internet has led to a great influence on the software industry and the development of companies. Recently, networked control systems are widely adopted in industry because of the big facilities provided for plant control. Also, accessing the local control systems and remote telemetry units (RTUs) remotely became a primary requirement. Therefore, this paper presents a method for connecting a PLC (Programmable Logic Controller) to a server and hence to the internet for the sake of remotely access. The work starts with building a local network for interconnecting a PLC with its Ethernet extension, an HMI (Human Machine Interface) touch screen, a supervisory PC, a smartphone, and a hub/switch. After that, the PC is connected to the internet and the server program is updated to get a global network that can be accessed via the internet worldwide without the need for public (real) IP. A web site is designed and used through the PC to reach the PLC system. The HMI touch screen is programmed with SoMachine software provided by Schneider Electric. An Android application is also developed with Java and published in google play of Android smartphones in order to add another means for controlling the PLC control system. PID (Proportional-Derivative-Integral) control algorithm is designed as a function block for home temperature control. The home temperature control is adopted just as a case study to prove the work of the overall control system.