Fuzzy Logic Maximum Structure and State Feedback Control Strategies of the Electrical Car

AbstractThis paper treats the design and control of different models and control strategies for an Electric Vehicle (EV). An hybrid controller is designed using a fuzzy logic integrated in Maximum Control Structure (FL-MCS), the FL nonlinear controller involves online estimation of the total reference force which corresponds to a torque reference to be applied to MCS. The second proposed regulator is a states feedback controller using the Linear Quadratic Regulation (LQR) to optimise and to determine the feedback control parameters. The LQR allows reducing the consumption of the energy according to the desired EV's dynamic performances, these lasts can be changed depending on the choice of Q and R matrices. In this work, we apply and validate the proposed control strategies by a comparison between our simulation results and the results of the classical MCS, which has been developed by L2EP (Lille, France) to control the EV speed under Matlab/Simulink

HYBRID MAXIMUMCONTROL STRUCTUREUSING FUZZY LOGICOF ELECTRIC VEHICLE

This paper presents a Modelling of traction control system of an Electric Vehicle (EV) based on the Energetic Macroscopic Representation (EMR) and the Maximum Control Structure (MCS). This last is using Fuzzy Logic Control(FLC) toinvert the EMR accumulation element for the control task. A developed combination of fuzzy control strategy with SMC combines the advantages of these two approaches and facilitates the inversion of the accumulation elements. In order to validate the simulation results, a comparison between the results obtained by MCS using IP controller which has already been developed by L2EP laboratory (Lille, France) and the presented MSC-FLC obtained by Matlab/Simulink software tool is include

HYBRID FUZZY LOGIC AND VECTOR CONTROL OF PERMANENT MAGNET SYNCHRONOUS MOTOR DRIVE FOR ELECTRIC VEHICLE

This  paper  presents  the modelling  and  the  control  of  a Permanent Magnet Synchronous Motor  (PMSM)  speed used  in an electric vehicle. The classical vector control technique is enhanced using a specific Fuzzy Logic Controller FLC instead of a simple PI, IP or PID control. These classical controllers need the adjustment of controller gains. The determination the gains is not easy and needs  to be adjusted  if  the operating conditions change. The optimization problem of regulators IP parameters used  in  the  vector  control method,  has  been  solved  by  using  a Fuzzy Logic. The FLC  can  be  dedicated  entirely  to  vector control  of PMSM  and  it  offers  a  robust  and  a  realizable  controller  acting  as  a  non  linear  (and  optimized) PID. Than,  the combination of fuzzy control strategy with vector controlled can give a good combination. In order to validate the simulation results, a comparison between  the  results obtained by classical vector control and the presented hybrid controller using FLC obtained by Matlab/Simulink software tool is included

Fuzzy Logic and Passivity-based Controller Applied to Electric Vehicle Using Fuel Cell and Supercapacitors Hybrid Source

AbstractElectric vehicles using Fuel Cell (FC), as a substitute for internal-combustion-engine vehicles, have become a research hotspot for most automobile manufacturers all over the world. Fuel cell systems have disadvantages, such as high cost, slow response and no regenerative energy recovery during braking; hybridization can be a solution to these drawbacks. This paper presents a modelling and control strategies of hybrid DC link which is equipped with a fuel cell system as a main source and a supercapacitor (SC) as an auxiliary power source as well. An energy management strategy based on passivity based control using fuzzy logic estimation, which is employed to control the power source, is described. This fuzzy estimation is capable to determine the desired current of SC according to the SC state of charge (SoC) and the FC remaining hydrogen quantity (QH2). Finally, the computer simulation results under Matlab verify the validity of the proposed controller and demonstrate that the proposed controller provides robust dynamic characteristics

EXPERIMENTAL VALIDATION OF A DUAL LOOP CONTROL OF TWO PHASES INTERLEAVED BOOST CONVERTER FOR FUEL CELL APPLICATIONS

<p>In this paper, a modelling, an implementation and a control of a dc-dc converter structure called “two phases Interleaved Boost Converter (IBC)” will be presented. This topology is widely used in order to reduce the input current ripples and the size of passive component with high efficiency. The control of the IBC converter is designed by dual loop control that contains a voltage loop with a linear PI controller and a fast current loop with a non-linear sliding controller to ensure a good tracking in steady state and fast performance in transient state. The proposed control loop has been validated, first by the simulation results under Matlab-Simulink and after by the experimental results using a small-scale test bench with the dSPACE-1104 card.</p

States Feedback Control Applied to the Electric Vehicle

AbstractThis paper presents the modelling and the control strategies based on the states feedback control of an Electrical Vehicle (EV). The Electromechanical behaviour of studied system is modelled by using the states representation deduced from the electrical and dynamical laws. Two kinds of methods are used to determine the values of control's parameters, first one is the states feedback regulator using pole placement, and the second one is the Linear Quadratic Regulator (LQR). The Pole-placement design allows determining the values of the controller's parameters by the displacement of the poles to specified locations according to the zeros of a desired polynomial, whereas the values of feedback vector gains are obtained by resolving the Ricatti equation in LQR method. Finally, the simulation of the proposed controller was carried out for the European, the American and the stander driving cycles as the EV speed references in order to validate its robustness and its dynamical performances