This study proposed a novel control scheme for multi-body semi-active suspension system (SASS), composed of a multibody model of SASS and a fuzzy logic controller based genetic algorithm (FLC-GA). ADAMS software was utilized to complete multi-body model of a full car SASS. Simulations with random road profile at two different speeds (25 m/s & 35 m/s) demonstrated that developed FLC-GA enhances ...

Static Var Compensator (SVC) is a shunt type FACTS device which is used in power system primarily for the purpose of voltage and reactive power control. In this paper, a fuzzy logic based supplementary controller for Static Var Compensator (SVC) is developed which is used for damping the rotor angle oscillations and to improve the transient stability of the power system. Generator speed and the...

Abstwd I n this paper a comparison between Fuzzy Logic Current Controller (FLC) and classical PI current Controller for a LCL-filter based PWM rectifier is presented. Both simulations and experimental results are included. The current control of PWM rectifiers is implemented in voltage oriented coordinates, known as Voltage Oriented Control (VOC). This paper also presents design process of the ...

The major goal of this paper is to provide automatically continuous propofol sedation for patients with severe head injury, unconsciousness, and mechanical ventilation in order to reduce the effect of agitation on intracranial pressure (ICP) using fuzzy logic control in a neurosurgical intensive care unit (NICU). Seventeen patients were divided into three groups in which control was provided wi...

Using computer simulation, the theoretical feasibility of functional electrical stimulation (FES) assisted standing up is demonstrated using a closed-loop self-adaptive fuzzy logic controller based on reinforcement machine learning (FLC-RL). The control goal was to minimize upper limb forces and the terminal velocity of the knee joint. The reinforcement learning (RL) technique was extended to m...

AbstructThis paper proposes a reinforcement neuralnetwork-based fuzzy logic control system (RNN-FLCS) for solving various reinforcement learning problems. The proposed RNN-FLCS is constructed by integrating two neural-networkbased fuzzy logic controllers (NN-FLC’s), each of which is a connectionist model with a feedforward multilayered network developed for the realization of a fuzzy logic cont...

Separately excited dc motors (SEDCM) are generally used in laboratory and industrial applications due to their high efficiency, performance response torque. An idea is proposed this paper by applying the PI Fuzzy Logic Controller (FLC) control speed of SEDCM. Simulink model with without FLC has been developed Matlab analyze motor. Based on simulation results it said that characteristics better ...

A candidate for intelligent control for lateral guidance of a vehicle is a fuzzy logic controller (FLC). The details of the most recent FLC with a rule base derived from heuristics and designer insight to the problem at hand, as well as a method for estimating a projected lateral displacement are presented along with simulation results. The structure of this FLC is suited to incorporate human k...

This paper presents an evolutionary approach to learning a fuzzy logic controller(FLC) employed for reactive behaviour control of Sony legged robots. The learning scheme is divided into two stages. The first stage is a structure learning in which the rule base of FLC is generated by a backup updating learning. The second stage is a parameter learning in which the parameters of membership functi...

This article presents an intelligent fuzzy logic controller (FLC) for controlling single-body heaving wave energy converter (WEC) or what is widely known as “Point Absorber”. The controller aims at maximizing the energy captured from the sea waves. The power take-off (PTO) limitations are addressed implicitly in the fuzzy inference system (FIS) framework. In order to enhance the WEC power captu...