In this paper, an optimized Fractional Order Proportional, Integral, Derivative based Genetic Algorithm GA-FOPID optimization technique is proposed for glucose level normalization of diabetic patients. The insulin pump with patient system used in the simulation Bergman minimal model, which to simulate overall system. main purpose obtain optimal controller parameters that regulate smoothly desir...

Having continuous decrease in inertia and being sensitive to load/generation variation are considered crucial challenging problems for modern power grids. The main cause of these is the increased penetration capacities renewables. An unbalanced load with generation largely affects grids’ frequency voltage profiles. Load control (LFC) mechanisms extensively presented solve problems. In literatur...

One of the most popular controllers for automatic voltage regulator (AVR) in maintaining level a synchronous generator is fractional-order proportional–integral-derivative (FOPID) controller. Unfortunately, tuning FOPID controller challenging since there are five gains compared to three conventional proportional–integral–derivative (PID) Therefore, this research work presents variant marine pre...

This study aims to improve the performance of a pneumatic positioning system by designing control based on Fuzzy Fractional Order Proportional Integral Derivative (Fuzzy FOPID) controllers. The system’s mathematical model was obtained using identification approach, and FOPID controller optimized PSO algorithm achieve balance between robustness. compared that PID through real-time experimental r...

<span>This paper deals with implementing the tuning process of gains fractional order proportional-integral-derivative (FOPID) controller designed for trajectory tracking control two-link robotic manipulators by using a Bat algorithm. Two objective functions weight values assigned has been utilized achieving minimization operation errors in joint positions and torque outputs manipulators....

Fractional-order proportional-integral-derivative (FOPID) controllers are designed for load-frequency control (LFC) of two interconnected power systems. Conflicting time-domain design objectives are considered in a multi-objective optimization (MOO)-based design framework to design the gains and the fractional differ-integral orders of the FOPID controllers in the two areas. Here, we explore th...

Egypt aims to diversify electricity generation sources and targets 42% of its power capacity through different renewable energy (RESs) by 2035. Such an increased share RESs will make grid operation control more tedious may have a negative impact on system frequency stability. Therefore, this paper is the first study that studies automatic future multi-source systems (e.g., Egyptian Power System...

Microgrid control in isolated mode is a highly important subject area. In the present paper, a new method is used for controlling the isolated microgrids. This method was used based on the classification of the microgrids into two groups, namely fast-dynamic (battery and flywheel) and slow-dynamic (diesel generator, electrolyzer, fuel cell). For the microgrid components with fast dynamics, a se...

Fractional-order proportional integral derivative (FOPID) controllers are becoming increasingly popular for various industrial applications due to the advantages they can offer. Among these applications, heating and temperature control systems receiving significant attention, applying FOPID achieve better performance robustness, more stability flexibility, faster response. Moreover, with severa...

In this research, a control mechanism for fuzzy fractional-order proportional integral derivatives was suggested (FFOPID). The fractional calculus application has been used in different fields of engineering and science showed to be improved the past few years. However, there are studies on implementation controller real time. Therefore, an experimental pressure model, order PID with intelligen...