Direct current (DC) motor speed control is useful. Speed can be modified based on needs and operations. DC motors cannot their speed. To the motor’s speed, a dependable controller needed. The will controlled by fuzzy logic proportional integral derivative (FLC-PID). circuit’s electrical mechanical components have been modeled mathematically. Ziegler-Nichols used to tune PID controller’s gain pa...

This paper presents the design of an indirect adaptive feedback linearization (FBL)based control using dynamic neural networks (DNN) for full-car nonlinear electrohydraulic suspensions. Particle swarm optimization (PSO) algorithm is used in training the DNN to learn the dynamics of the system. A multi-loop, PSO-optimized proportional-integral-derivative (PID) control is implemented for the feed...

Classical proportional-integral-derivative (PID) control is exploited widely in industrial motion systems with dry friction motivated by the intuitive and easy-to-use design tuning tools available. However, classical PID suffers from severe performance limitations. In particular, friction-induced limit cycling (i.e., hunting) observed when integral employed on frictional that suffer Stribeck ef...

Nowadays, the renewable energy sources in microgrids (MGs) have high participation to supply consumer’s demand. In such MGs, problems as system frequency stability, inertia, and damping reduction are threatened. To overcome this challenge, employing virtual inertia control (VIC) concept MG structure could be considered a viable solution improve response. Hence, work proposes novel modeling for ...