<div>This paper reviews the position/force control approach for governs an efficient knee joint in active lower limb prosthesis, and inter facing current algorithm with human gate parameter is inserted. Two techniques are used to collect gait cycle data of leg: first, foot ground force obtained by platform device based on its position (x, y), then angles recorded using a video-camera devi...

The main objective of Load Frequency Control (LFC) is to regulate the power output of the electric generator within an area in response to changes in system frequency and tie-line loading. Thus the LFC helps in maintaining the scheduled system frequency and tie-line power interchange with the other areas within the prescribed limits. Most LFCs are primarily composed of an integral controller. T...

A proportional integral derivative (PID) controller is the most commonly used controller in controlling industrial loops due to its simple structure, robust nature and easy implementation. Tuning a PID controller is an important task. The conventional methods for tuning a PID controller have certain limitations. These limitations can be taken care by tuning the PID controller using intelligent ...

This paper presents a PID-like adaptive neuro-fuzzy inference system (ANFIS) controller that can be trained by the global-best harmony search (GHS) technique to control nonlinear systems. Instead of the hybrid learning methods that are widely used in the literature to train the ANFIS structure, the GHS technique alone is used to train the ANFIS as a feedback controller, and hence, the necessity...

In power systems, the constant frequency, voltage, and output are desired determine quality of generated electrical energy. Therefore, frequency control is crucial in systems. The parameters conventional controllers used generation plants determined according to system's characteristics at stage installation, they cannot adapt changing system dynamics as lifespan increases. Thus, studies on aut...

In this study, a black box modeling of the coupledtank system is obtained by using fuzzy sets. The derived model is tested via adaptive neuro fuzzy inference system (ANFIS). In order to achieve a better control performance, the parameters of three different controller types, classical proportional integral controller (PID), fuzzy PID and function tuner method, are tuned by one of the evolutiona...

The utilization of a microgrid with photovoltaic (PV) and wind generation system presents challenge due to their voltage power output variations. This problem is majorly addressed within the converter section using maximum point tracking (MPPT) algorithms regulation strategies. paper an interleaved boost (IBC) modeling control hybrid adaptive neuro-fuzzy inference system-proportional plus integ...

Routers are vital during network congestion. All routers have input and output packet buffers. V<span lang="EN-US">Various congestion control strategies been suggested. Some controller-based proportional-integral derivative (PIDs) recently offered as active queue management (AQM) solutions to alleviate the deterioration of transmission protocol (TCP) system performance. However, time dela...