J. Bosche

MPPT for photovoltaic conversion systems using genetic algorithm and robust control

This paper proposes an algorithm of maximum power point tracking (MPPT) applied for photovoltaic (PV) power generation systems. The strategy of this algorithm considers the value of short circuit current to generate the current at the maximum power. In this work, the current reference is generated by genetic algorithm (GA). In this way, short-circuit current measurements are not necessary, thus overcoming the reduction in output that result. A robust control law using Linear Matrix Inequality (LMI) tools is developed to track the current reference at the optimum operating point of the PV-panel, in the sense of the MPPT algorithm. The performances of the proposed approach are ensured in simulation, using real profiles of irradiance and temperature measured on platform.

Two loop based dynamical feedback stabilization control of a diesel engine with EGR & VGT

In this paper, a fourth-order dimensional nonlinear model is proposed for a diesel engine equipped with a Variable Geometry Turbocharger (VGT) and an Exhaust Gas Recirculation (EGR) valve. The referred model which takes into account the engine crankshaft speed dynamics and the air-path dynamics is a non-minimum phase unstable system. The fuel flow rate Wƒ which is considered as input for the engine crankshaft subsystem acts as an external perturbation for the three-order dimensional non-minimum phase air-path subsystem. The global control objectives are to track desired values of engine speed, intake manifold pressure and compressor flow mass rate which can be suitably chosen according to low emission criterions. For the considered objectives two loop based dynamical feedback stabilization control is proposed: an inner loop and an outer loop. The inner loop considers a control based on Lyapunov function which realizes the desired engine speed trajectory tracking. The outer loop concerns EGR & VGT control. It is developed from a particular extended nonlinear air-path subsystem with its modified outputs. This outer loop ensures both the desired intake manifold pressure and the desired compressor mass flow rate trajectory tracking. The outer loop dynamical feedback stabilization control provides also the external fuel mass flow rate perturbation rejection. The robustness and efficiency of the proposed method are demonstrated by simulation results.

Control strategy for the air path dynamic system

This paper focuses on the control of diesel HCCI engine air path. We propose a control strategy based on Recursive Model Free Controller (RMFC). This kind of controller is simple to design and it needs only the outputs of the system. On other hand, in order to estimate the state variables, an observer is used and its convergence is performed by using Lyapunov asymptotic stability and is formulated in the format of Linear Matrix Inequalities (LMI) to obtain observer gains. The proposed approach while possessing a simple structure proves a good performance in term of static state error with an accepted setting time. The proposed strategy has been successfully evaluated using a professional advanced diesel engine simulator AMEsim(LMS) platform in co-simulation with SIMULINK.

Modeling and Dynamical Feedback Control of a Vehicle Diesel Engine Speed and Air-Path

This paper presents a modeling and dynamical feedback stabilization control of a diesel engine which is equipped with a variable geometry turbocharger (VGT) and exhaust gas recirculation (EGR) valve. A fourth-order dimensional nonlinear model which takes into account the engine crankshaft speed dynamics and the air-path dynamics is proposed for the considered diesel engine. The difficulties for the control design are that the referred system is nonlinear, nonminimum phase unstable and coupled system. The fuel flow rate Wf which is considered as input for the engine crankshaft subsystem and acts as an external perturbation for the three-order dimensional nonminimum phase air-path subsystem. The global control objectives are to track desired values of engine speed, intake manifold pressure and compressor flow mass rate which can be suitably chosen according to low emission criterions. For the considered objectives, a dynamical feedback stabilization control with a two-loop structure of inner outer loop is proposed. The inner loop considers a control based on a Lyapunov function which realizes the desired engine speed trajectory tracking. The outer loop which is developed from a particular extended nonlinear air-path subsystem with its modified outputs concerns the coordinated EGR and VGT control and ensures both the desired intake manifold pressure and the desired compressor mass flow rate trajectory tracking. Meanwhile, this outer loop dynamical feedback stabilization control provides also the external fuel mass flow rate perturbation rejection. From the corresponding numerical simulation results, the proposed method efficiency is validated. [DOI: 10.1115/1.4027502]

Fuzzy robust tracking control with pole placement for a Turbocharged diesel engine

This paper addresses the modeling and control of the air path system of diesel engines. We propose robust control for the diesel engine equipped with Exhaust Gas Recirculation (EGR) and Variable Geometry Turbocharger (VGT) systems. The goal is to control carefully the air flow for a diesel engine to reduce emissions of pollutant particles and fuel consumption. A mean value model of the air loop is considered and rewriten using fuzzy Takagi-Sugeno (TS) approach. A control strategy based in Lyapunov function and pole placement in LMI regions (Linear Matrix Inequalities) is developed. It takes into account the variation of the engine speed. The goal is to design a robust control law that tracks some reference signals. The effectiveness of the proposed fuzzy tracking controllers in the system diesel engine is demonstrated through numerical simulations.

Improved Real Time Amorphous PV Model for Fault Diagnostic Usage

Amorphous PV panel is modeled in this paper to improve electrical characteristic and curve fitting in real time data processing such as fault diagnostic and Maximum Power Point Tracking (MPPT). The proposed model uses the basic circuit model of PV solar cell by manipulating component parameters, and also changing online shunt resistance by considering solar irradiation and temperature variation effects. Irradiation and temperature data of the PV panel are captured by National Instrument data acquisition system (NI DAQ USB-6212) and applied to the simulation in Matlab software to calculate the I-V curve of PV panel in real time. Then simulation outputs are compared with measured voltage and current for fault diagnostic deliberation. This model is done for triple layers Amorphous PV panel (Unit-solar ES-62T), which is installed in MIS laboratory energy renewable platform.

On-line control strategy for instantaneous power management of hybrid power system based on dynamic fuzzy logic controller

This paper presents the basis for the development of an intelligent and autonomous energy management strategy for Hybrid Power System(HPS). This strategy is designed by applying on-line Takagi-Sugeno fuzzy logic principles. As a result the fuzzy control system gets rid of the limits of the HPS, which has the imprecision, uncertainty, strong coupling and nonlinearity, to achieve its tractability, robustness and low solution cost. Under the operation constraints related to each type of sources, the simulation results show that the load demand are satisfied for all time, the energy storage system is managed in an optimal way and the fuel use is optimal.

Robust observer for prevention of vehicle rollover

In this paper an approach for detecting impending rollover is proposed. The method includes an algorithm based on Takagi-Sugeno (TS) fuzzy observer to prevent rollover of the vehicle when road adhesion conditions change. To design such observer, we take into account that roll rate can be measured easily by sensor, but roll angle is not measured. The proposed method allows estimating the roll angle and the roll rate from measurable signals such as lateral acceleration yaw rate and the vehicle parameters. Performance and robustness of the estimator are evaluated through numerical simulations, using various scenarios.

Actuator Fault-tolerant control for vehicle dynamics

Abstract —This paper presents Fault-Tolerant Control (FTC) architecture for vehicle dynamics represented by an LPV (Linear Parameter Varying) model with actuator failures. The type of faults considered in this work is total or partial loss of actuator effectiveness. This method does not need any on-line fault estimation, detection or identification mechanism. The proposed approach is applied to the actuator fault tolerant control of vehicle dynamics. It is based on the resolution of LMIs , using the concept of D C -stability and involving PDLM (Parameter-Dependent Lyapunov Matrix). In order to highlight the performance of the proposed control algorithm, numerical simulations are performed.

Unknown input estimation for diesel engine based on Takagi-Sugeno Fuzzy Descriptor systems

In this paper a type of proportional integral fuzzy observers (PI-Fuzzy Observer) based on Takagi-Sugeno Fuzzy (TS-Fuzzy) Descriptor models is proposed with application in a real system. The state and unknown input estimation problems for a diesel engine air-path system is solved by using a PI-Fuzzy Observer. The proposed approach offers all the degrees of observer design and also, sufficient stability conditions and the observer gains that are obtained starting from the theory of linear matrix inequalities (LMIs). A TS-Fuzzy descriptor model of the process is developed in order to facilitate the design of the PI-Fuzzy Observer. The obtained results indicate that the observer is able to accurately reconstruct the states and the unknown inputs of the system.