In this paper, a multi stage fuzzy Proportional-Integral-Derivative (PID) type controller is proposed to solve the Load Frequency Control (LFC) problem in a restructured power system that operates under deregulation based on the bilateral policy scheme. In each control area, the effects of the possible contracts are treated as a set of new input signal in a modified traditional dynamical model....

Robots are highly nonlinear and chaotic in position control. The present paper mainly presents the position control of PUMA-560 Robot manipulator. Computed torque controller (CTC) is one of the solutions for position control of robot manipulators. The main drawback of controller is that it fails to operate under different dynamic operating conditions. To overcome this difficulty, intelligent co...

Optimal power allocation (PA) is a decisive part of the domain non-orthogonal multiple access (PD-NOMA) technique. In PD-NOMA, users are served at same time and using frequency band, but differing levels. this paper, optimization problem for PA formulated with distance (d), signal-to-noise ratio (SNR), foliage depth (df) constraints. A fuzzy inference system (FIS) addresses by allocating optima...

Frequency, voltage and power flow between different control zones in an interconnected system are used to determine the standard quality of power. Therefore, frequency IPS is vital importance maintaining real reactive balance under varying load conditions. In this paper, a dandelion optimizer (DO)-based proportional-integral-proportional-derivative (PI-PD) controller investigated for realistic ...

A fuzzy-logic controller (FLC) is designed to automatically adjust feed rate in order to regulate the cutting force of milling processes in a vertical machining center. The FLC has a double-loop structure, consisting of the inner PD (proportional-derivative) velocity-control loop for a feed servo and the outer fuzzylogic force-control loop. Reference cutting forces are well maintained in both n...

This article presents a comparison of controllers which have been applied to a fixed‐wing Unmanned Aerial Vehicle (UAV). The comparison is realized between classical linear controllers and nonlinear control laws. The concerned linear controllers are: Proportional‐ Derivative (PD) and Proportional‐Integral‐Derivative (PID), while the nonlinear controllers are: backstepping, ...