In this paper a Sliding Mode Control scheme (SMC) applied to the Permanent Magnet Synchronous Motor (PMSM) speed control is designed and improved. A Fuzzy logic algorithm is added to mitigate chattering caused by discontinuous term in steady states, and to ensure good performances of the controller in transient states. The proposed Fuzzy-SMC performance is tested in simulation and experimental ...

This paper presents regulation and tracking control design for a magnetic levitation system (Maglev). First, the nonlinear dynamic model of magnetic levitation system was built. Second, a sliding mode control (SMC) is constructed to compensate the uncertainties occurring in the magnetic levitation system. The control gains were generated mainly by experimental method. Next, a composite controll...

The optimisation of a non-linear control problem by Genetic Algorithm (GA) is studied in this paper. It involves the performance of a fully autonomous control system for regulating the course keeping manoeuvres of an oil tanker. This control system consists of an autopilot and a Sliding Mode Controller (SMC). The GA is used to optimise the performance of the complete system by optimising the pa...

Sliding mode control (SMC) can be considered for torque regulation of permanent magnet synchronous machines (PMSMs) when fast transient response and/or robustness under parameter uncertainties are required. In some particular applications, a voltage harmonic injection technique that enhances the dc-link utilization should incorporated into controller to operate at high speeds. Although this is ...

In order to achieve feasible and copacetic low energy consuming building, a robust and efficient air conditioning system is necessary. Since heating ventilation and air conditioning systems are nonlinear and temperature and humidity are coupled, application of conventional control is inappropriate. A multi-input multi-output nonlinear model is presented. The temperature and humidity of thermal ...

This paper presents a photovoltaic (PV) system with a maximum power point tracking (MPPT) facility. The goal of this work is to maximize power extraction from the photovoltaic generator (PVG). This goal is achieved using a sliding mode controller (SMC) that drives a boost converter connected between the PVG and the load. The system is modeled and tested under MATLAB/SIMULINK environment. In sim...

This paper proposes a composite nonlinear controller combining backstepping and double-integral sliding mode controllers for DC–DC boost converter (DDBC) feeding by constant power loads (CPLs) to improve the DC-bus voltage stability under large disturbances in DC distribution systems. In this regard, an exact feedback linearization approach is first used transform dynamical model into simplifie...

The novel features of an adaptive PID-like neurocontrol scheme for nonlinear plants are presented. The controller tuning is based on an estimate of the command-error on its output by using a neural predictive model. A robust online learning algorithm, based on the direct use of sliding mode control (SMC) theory is applied. The proposed approach allows handling of the plant-model mismatches, unc...

-This paper presents the relative difference between the linear and nonlinear controller. The linear controller namely Proportional integral derivate controller (PID) and nonlinear controller called Generalized Proportional Integral (GPI) controller and Sliding mode controller are considered for the response analysis. The transient and dynamic performances of the linear and nonlinear controller...

This paper deals with the design of single fuzzy neural network (SFNN) with sliding mode control (SMC) systems by using the approach of sliding mode control. The fuzzy sliding mode control (FSMC) in the system guarantee the state can reach the user-defined surface in finite time and then it slides into the origin along the surface. The key idea is to apply parameters of the membership function ...