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Keyword: Tracking ControlNeural Networks and Fuzzy Logic Based Maximum Power Point Tracking Control for Wind Energy Conversion System
In grid connected wind turbine (WT) systems, the maximum power point tracking (MPPT) approach has a crucial role in optimizing the wind energy efficiency. To search for the maximum power value of the wind turbine, this contribution proposes a new Maximum Power Point Tracking System (MPPT) for wind turbine related to a permanent magnet synchronous…
Read MoreFast and Efficient Maximum Power Point Tracking Controller for Photovoltaic Modules
This paper presents an efficient Maximum Power Point Tracking (MPPT) controller for photovoltaic modules. The MPPT technique consists of a combination between backstepping controller and artificial neural network (ANN).The (ANN) has been employed to generate the optimum voltage, which corresponds to the maximum power voltage delivered by photovoltaic modules, while the backstepping controller is developed…
Read MoreTrajectory Tracking Control of a DC Motor Exposed to a Replay-Attack
This paper investigates the trajectory tracking control (TTC) problem of a networked control system (NCS) against a replay-attack. The impact of data packet dropout and communication delay on the wireless network are taken into account. A new mathematical representation of the NCS under network issues (packet dropout, delay, and replay-attack) is proposed, the resulting closed-loop…
Read MoreTrajectory Tracking Control Optimization with Neural Network for Autonomous Vehicles
For mission-critical and time-sensitive navigation of autonomous vehicles, controller design must exhibit excellent tracking performance with respect to the speed of convergence to reference command and steady-state accuracy. In this article, a novel design integration of the neural network with the traditional control system is proposed to adaptively obtain optimized controller parameters resulting in improved…
Read MoreA Comparative Analysis of two Controllers for Trajectory Tracking Control: Application to a Biological Process
The aim of the present work is to guarantee the trajectory tracking of a nonlinear biological process and compare two control approaches. The main objective of this work is to elaborate a fuzzy model and build a fuzzy controllers for a biological process by using the fuzzy Takagi-Sugeno. Two controllers are synthesized, the parallel distributed…
Read MoreEfficiency of Photovoltaic Maximum Power Point Tracking Controller Based on a Fuzzy Logic
This paper examines the efficiency of a fuzzy logic control (FLC) based maximum power point tracking (MPPT) of a photovoltaic (PV) system under variable climate conditions and connected load requirements. The PV system including a PV module BP SX150S, buck-boost DC-DC converter, MPPT, and a resistive load is modeled and simulated using Matlab/Simulink package. In…
Read MoreA Fast Adaptive Time-delay-estimation Sliding Mode Controller for Robot Manipulators
A nonlinear adaptive robust controller is proposed in this paper for trajectory-tracking control problems of robot manipulators. On one hand, to effectively approximate the systematic dynamics, a simple time-delay estimator is first adopted. On the other hand, to minimize the control error, the controller is designed based on a sliding mode structure using the obtained…
Read MoreA New Study Performance Control of PMSMs: Validity Abacus Approach
This paper is an extension of work originally presented in conference name” Study Performance of Speed Tracking Control with Frequency and Amplitude Dependence”. Though many PMSMs (Permanent Magnet Synchronous Motor) control approach have already been published, little endeavors have been invested in the study of speed tacking control with frequency or amplitude dependence. The use…
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