International Journal of Digital Signals and Smart Systems (9 papers in press)
CONTROLLING SCHEMES IN DIGITAL LOAD SIDE TRANSMISSION SYSTEM FOR INTELLIGENT LIGHTING
by T. Yuvaraja, K. Ramya, Mathudevan V
Abstract: This manuscript deals with the DLT compatible control devices in intelligent lighting systems with high output power in the designed converter. The presented methodology deals with two-wire bound power line communication. The presented topology works without a neutral wire connection and is hence applicable to all typical house installations lacking a neutral wire at the light switch lead-out and is an excellent solution for providing continuous operation of a DLT control device with WiFi, even if half waves of mains are missing or short blackouts of several half waves. DLT control devices can be embedded in a smart home environment, which is a unique feature enabled by the proposed power supply concept.
Keywords: Light Emitting Diode; Digital Load Transmission; Low Current.
Fast detection control for fault-tolerant converter back-to-back with redundancy leg supplying an induction motor drives
by Khaled Sahraoui, Bachir GAOUI, Lakhdar MOKRANI, Kelthoum BELARBI
Abstract: The purpose of this paper is the study of fault tolerant control with pulse large modulation (PWM) AC-DC-AC converter for supplying a three-phase rotor field oriented induction motor. The back to back converter is supplied with three-phase network and composed of a PWM rectifier and a voltage source inverter. Fault tolerant topology of AC-DC-AC converter with redundancy have been studied and associated with affective and fast method of fault detection and compensation to guarantee the continuity of service, in the presence of an open circuit failure possibility on the level of one of their legs. Although of the presence of open circuit on the level of the converter legs, the obtained simulation results show that the proposed method has the ability to maintain the good performance of the drive.
Keywords: Asynchrouns machine; Converter with redundant leg; Field oriented control; Service Continuity; sigma-delta PWM; Three-phase AC-DC-AC converter.
Iris recognition: using a Statistical Models of Shape and Spatial Relation for effective segmentation
by Houda Khmila
Abstract: This paper presents a new segmentation method based both on Active Shape Model (ASM) and spatial distance model to segment iris structures. The extracted iris is normalized by Daugmans Rubber Sheet model. Then the feature are extracted by the 1D Log Gabor Filter, afterwards The Hamming distance is used to compare the binary codes stored previously. The evaluation experiments are performed on a set of 300 right iris images from 41 persons of CASIA-IrisV4 database. We obtain a correct recognition rate of 100%. The experimental results have shown that the performance of the proposed approach is encouraging
Keywords: Biometrics; iris recognition; segmentation; ASM+D; identification.
Control Design and Sensors Fault Tolerant for Vehicle Dynamics
by Naoufal El Youssfi, Mohammed Oudghiri, Rachid El Bachtiri
Abstract: This paper presents a control approach based on the state feedback estimated by the observer. It also offers a method of detection and isolation of sensor defects (FDI), which is based on a bank of observers in order to apply a fault tolerant control strategy (FTC) to the lateral and roll dynamics of the vehicle represented by the fuzzy model of Takagi-Sugeno (TS). This approach makes it possible to preserve the stability of the vehicle despite the presence of sensor defects; based on the Lyapunov approach, the observer and controller designs were formulated as linear matrix inequalities (LMI); the simulation results clearly show the importance and effectiveness of the proposed strategy.
Keywords: Takagi Sugeno (TS) Fuzzy model; observer bank; controller; LMI; FTC; FDI; vehicle lateral dynamics.
Massively Parallel Hybrid Algorithm on Embedded Graphics Processing Unit for Unmanned Aerial Vehicle Path Planning
by Vincent Roberge
Abstract: To operate autonomously, military unmanned aerial vehicles (UAVs) must be equipped with a path planning module capable of calculating feasible trajectories. This is a highly complex and non-linear optimization problem that challenges state of the art methods. In this paper, we present a massively parallel hybrid algorithm to solve the path planning problem for fixed-wing military UAVs. The proposed solution combines the strengths of the genetic algorithm and the particle swarm optimization and allows for the calculation of quasi-optimal paths in realistic 3D environments. To reduce the execution time, the proposed algorithm is parallelized on the NVIDIA Jetson TX1 embedded graphics processing unit (GPU). By exploiting the parallel architecture of the GPU, the runtime is reduced by a factor of 23.6x to just 4.3 seconds while requiring only 10 Watts, making it an excellent solution for on-board path planning. The proposed system is tested in a simulation using 18 scenarios on 6 different terrains.
Keywords: hybrid metaheuristic; genetic algorithm; graphics processing units; NVIDIA Jetson TX1; particle swarm optimization; path planning; parallel computing; unmanned aerial vehicle.
Fractional PID Controller design for Nonlinear Systems based on Singular Perturbation Technique.
by Mohamed Lazhar WARDI, Messaoud AMAIRI, Mohamed Naceur ABDELKRIM
Abstract: This paper deals with the output regulation of nonlinear control systems in order to guarantee desired performances in the presence of plant parameters variations and external disturbances. The proposed control law structures are based on the fractional order PI (FOPI) and PID (FOPID) control schemes. By introducing the two-time-scale notions in the closed-loop system, the presented design methodology of fractional PID control guarantees desired transients. Then, the singular perturbations technique is used to analyze the closed-loop system properties and to get explicit expressions for evaluation of the controller parameters. The tuning of the controller parameters is based on a constrained optimization algorithm. Simulation examples are presented to show the effectiveness of the proposed method.
Keywords: Fractional order controller; Nonlinear Systems; Singular Perturbations Technique; Robustness.
Actuator Fault Tolerant Control Of Disturbed Switched Hybrid Systems
by Salwa Yahia, Saida Bedoui, Kamel Abderrahim
Abstract: The present work treats the problem of actuator fault tolerant control (FTC)
for disturbed switched hybrid system. By extending the data-projection method (EDPM), the fault signal is estimated fast and properly. Then, using the unknown input observers, the unavailable state is estimated. Based on the estimated state and fault estimation information the fault tolerant control is performed to compensate the fault and to guarantee the stability of the system. In fact, the proposed FTC is designed by combined an additive control computed from the EDPM to the stabilizing control. The optimal gain matrices of the stabilizing control are computed using the Linear Matrix Inequalities (LMI) technique in order to ensure the stability of the system and to correct the effect of the fault correctly. The effectiveness of the proposed method was shown by a simulation example.
Keywords: Disturbed switched hybrid system; Actuator fault; Data-based Projection
Method; Fault tolerant control; Linear Matrix Inequalities; Unknown input observers.
Observer-based model reference control for linear fractional-order systems
by Assaad JMAL, Omar Naifar, Abdellatif Ben Makhlouf, Nabil Derbel, Mohamed Ali Hammami
Abstract: In the literature, the issue of designing model-reference controllers for integer-order systems has been extensively addressed. The extension of the existing works to the fractional-order calculus is still a fertile field of research. It is within this context that the present paper is established. Herein, a new observer-based model-reference control scheme is proposed for linear fractional-order systems. The developed methodology is based on the Caputo definition of fractional derivatives, the Lyapunov theory and the Linear Matrix Inequality (LMI) technique. Finally, a simulation study is given in order to support the theoretical findings of the paper.
Keywords: Model reference control; fractional-order systems; linear systems; observer.
Improved L2 L1 T-S Fuzzy Filtering For Discrete Stochastic Systems
by Taha Zoulagh, Bensalem Boukili, Abdelaziz Hmamed, Ahmed El Hajjjaji
Abstract: The problem of L2 L1 filtering for a class of Takagi-Sugeno (T-S)rnfuzzy stochastic systems is tackled in this paper. A new design method of fullrnorder filter is presented, that guarantees the asymptotic stability of filtering error system with a prescribed L2 L1 performance level. The filter parameters are assumed to be linearly dependent on the normalized fuzzy weighting functions.rnSufficient analysis condition is proposed in the filter analysis step where some know lemmas are applied, thereafter, the corresponding filter design is cast into a convex optimization problem. Finally, numerical example from literature is employed to demonstrate the effectiveness of the proposed method.
Keywords: L2-L1 filtering; Takagi-Sugeno (T-S)fuzzy systems; stochastic systems; slack variables; Linear matrix inequalities (LMIs).