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var str = 'A New Approach to System Safety of human- multi-robot mobile system control with STPA and FTA';
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]]>
Hazard Analysis]]>
STPA]]>
FTA]]>
Collaborative multi-mobile robots]]>
Autonomous Mobile multi-robots are among the most complex systems in their control. Especially when those robots navigate in hazardous and dynamic environments such as chemical analysis laboratories which include dangerous and harmful products (poisonous, flammable, explosive ...). This study deals the safety problem in a robotic analysis laboratory and investigates the possibility to use those autonomous multi-robots in such environments with the presence of human workers without serious hazards. We used a systems-theoretic hazard analysis technique (STPA) in addition to fault tree analysis to identify the potential safety hazard scenarios, their causal factors and we conclude by a set of recommendations. Keywords: Hazard Analysis, STPA, FTA, Collaborative multi-mobile robots.]]>
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var str = 'BENSACI, Chaima';
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]]>
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var str = 'ZENNIR, Youcef';
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]]>
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var str = 'POMORSKI, Denis';
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]]>
Algerian Journal of Signals and Systems ; Vol. 5 No. 1 (2020); 79-85]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v5i1]]>
Laboratory of Signals and Systems, Algeria]]>
2020-03-15]]>
Copyright (c) 2020 Chaima BENSACI, Youcef ZENNIR, Denis POMORSKI]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/100/83]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/100]]>
10.51485/ajss.v5i1.100]]>
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var str = 'A New Design Method for Fractional Order Proportional Integral (FO-PI) Controller of 3x3 Multivariable Systems';
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]]>
Fractional order (FO-PI) Controller]]>
3x3 Multivariable System]]>
Diffusive representation]]>
This paper presents a new design method of Fractional Order Proportional Integral Controller (FO-PI) for 3x3 multivariable system (three-input-three-output). The Optimal parameters of the FO-PI controllers are tuning by minimizing performance index criterion as objective function. The irrational transfer function of the fractional operator is performed by means of diffusive representation and allows to formulate the optimization problem as a function of fractional order. The simulation results show that the performance of the response obtained by diffusive approach -based FO-PI are better than whose obtained by the classical controllers.]]>
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var str = 'LAIFA, Sami';
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]]>
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var str = 'BOUDJEHEM, Badreddine';
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]]>
Algerian Journal of Signals and Systems ; Vol. 5 No. 1 (2020); 73-78]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v5i1]]>
Laboratory of Signals and Systems, Algeria]]>
2020-03-15]]>
Copyright (c) 2020 Sami LAIFA, Badreddine BOUDJEHEM]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/99/82]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/99]]>
10.51485/ajss.v5i1.99]]>
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var str = 'Design and Simulation of Graphical User interface for Cables Parallel Robot';
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]]>
Cable parallel robot]]>
Control Simulation]]>
modelling]]>
GUI]]>
In this paper, we have presented the 3D cables parallel robot in pyramid’s form. The dynamic equation has been established including the dynamic behavior, in this context; we investigated to use the Runge Kutta method of 4th order to solving non-linear partial differential equation of our system. The main contribution of this work is firstly: a graphical user interface (GUI) has been developed and implemented based on the geometric model, in order to visualizing the position of end effect or, taking account model uncertainties and payload variation. Secondly, we have studied and solved our system’s dynamical equation with implementation the PD control. This last, applied for different trajectories so as to test the accurate tracking the desired trajectory simulation using MATLAB software. As a result, the simulation tests on this robot verify the efficiency performance of the proposed controller.]]>
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var str = 'INEL, F.';
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]]>
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var str = 'ZENNIR, Y.';
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]]>
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var str = 'ADLENE, R.';
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]]>
Algerian Journal of Signals and Systems ; Vol. 5 No. 1 (2020); 66-72]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v5i1]]>
Laboratory of Signals and Systems, Algeria]]>
2020-03-15]]>
Copyright (c) 2020 F. INEL, Y. ZENNIR, R. ADLENE]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/98/81]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/98]]>
10.51485/ajss.v5i1.98]]>
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var str = 'Novel Fractional order Integrators Using Traditional Rules Interpolation';
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]]>
Digital integrators]]>
Fractional order integrators]]>
Impulse invariant method]]>
Euler-bilinear-Simpson integrator]]>
Steiglitz-Mc-bride]]>
This work proposes a new IIR integer order digital, so a new IIR fractional order integrators. The followed method includes two stages. First, the integer order integrator is obtained by interpolating well-known integration rulesnamely, Euler, bilinear and Simpsonas a weighted sum. Second the initial value theorem for the selection of initial value of the impulse response is used. Lastlythe Steiglitz-Mc-bride signal modeling technique is applied to find the parameters of rational approximation models. Numerical examples are presented to illustrate the performance of the proposed integrator. It was found that the Euler-bilinear-Simpson integrator yields high accuracy than the existing integrators.]]>
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var str = 'MEKHNACHE, Chafia';
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]]>
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var str = 'BALASKA, Nawel';
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]]>
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var str = 'DETOUCHE, Nedjma';
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]]>
Algerian Journal of Signals and Systems ; Vol. 5 No. 1 (2020); 58-65]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v5i1]]>
Laboratory of Signals and Systems, Algeria]]>
2020-03-15]]>
Copyright (c) 2020 Chafia MEKHNACHE, Nawel BALASKA, Nedjma DETOUCHE]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/97/80]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/97]]>
10.51485/ajss.v5i1.97]]>
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var str = 'Integrated RMA with FMECA analysis using a graphical inteface: case study recycling iso-butane pump (CP2K)';
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]]>
Risk analysis]]>
FMECA]]>
HDPE]]>
RMA]]>
Automated risk analysis]]>
The objective of our work is the implementation of a new approach for the dependability enhancement of a recycling iso-butane pump (Skikda CP2K petrochemical plant) based on automateddependability analysis system including the automation of the RMA (Reliability, Maintainability, Availability) study and FMECA (Failure Mode Effect and Criticality Analysis) method. After the system description, we present briefly the principle of the automated method. The system analysis in degraded mode is realized by using FMECA method. This automated analysis brings out the different failure modes, their causes and their consequences of each component. The result is risks minimization and reliability enhancement of the considered system.]]>
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var str = 'MECHHOUD, El-Arkam';
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]]>
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var str = 'BENDIB, Riad';
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]]>
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var str = 'ZENNIR, Youcef';
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]]>
Algerian Journal of Signals and Systems ; Vol. 5 No. 1 (2020); 53-57]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v5i1]]>
Laboratory of Signals and Systems, Algeria]]>
2020-03-15]]>
Copyright (c) 2020 El-Arkam MECHHOUD, Riad BENDIB, Youcef ZENNIR]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/96/79]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/96]]>
10.51485/ajss.v5i1.96]]>
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var str = 'Evaluation of safety barriers deduced from the HAZOP study of fired heater F201-101, ADRAR refinery, Algeria using ETA method';
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]]>
Safety]]>
probabilistic risk assessment]]>
outcome frequency]]>
event tree analysis]]>
This paper described the method of event tree analysis that is commonly used to identify, characterize and estimate the risk. Quantitative estimates for probability of breach or failure and the resulting consequences can be obtained using event trees. Qualitative depictions of potential failure modes and consequences can also be developed using event trees. An event tree analysis (ETA) is an inductive procedure that shows all possible outcomes resulting from an accidental (initiating) event. An event tree consists of a sequence of interconnected nodes and branches. Each node defines a random variable that represents an uncertain event or state of nature. Branches originating from a node represent each of branches to represent the likelihood for each event or condition. These probabilities are conditional on the occurrence of the preceding events to the left in the tree. Our work includes a HAZOP study to determine the necessary safety barriers as a first step. And as a second step is their evaluation using ETA method of fired heater F201-101, ADRAR refinery, Algeria. This particular method is well suited to estimating the risk stemming from process plant failure. Neither the initiators of industrial accidents nor the layers of protection that prevent them are typically complex, that is, they do not usually require analysis by redundant systems or the time for on-line repair. Thus, they can be accurately characterized with the probability multiplication methods that from the basis of event tree analysis.]]>
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var str = 'Naoual, BATOUT';
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]]>
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var str = 'BENDIB, Riad';
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]]>
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var str = 'ZENNIR, Youcef';
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]]>
Algerian Journal of Signals and Systems ; Vol. 5 No. 1 (2020); 47-52]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v5i1]]>
Laboratory of Signals and Systems, Algeria]]>
2020-03-15]]>
Copyright (c) 2020 BATOUT Naoual, Riad BENDIB, Youcef ZENNIR]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/95/78]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/95]]>
10.51485/ajss.v5i1.95]]>
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var str = 'Robust MRAC-based adaptive control of a Doubly Fed Induction Generator (DFIG) in a Wind energy system using a fractional order Integrator';
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]]>
Doubly fed induction generator (DFIG)]]>
Renewable energy]]>
MRAC]]>
FOMRAC]]>
Robustness]]>
This paper presents a robust control of doubly fed induction generator for wind generation system. The whole system is presented in d-q-synchronous reference frame. We propose the implementation of adaptive control with integer model reference MRAC, fractional model reference FOMRAC with integer and fractional order control law design for active and reactive power supervision control in the doubly fed induction generator (DFIG) for wind energy systems. The objective is to realize a comparative study between the classical regulator MRAC and the proposed FO-MRAC with integer and fractional order control law in order to demonstrate the robustness of the fractional order adaptive control with fractional order integral in control law comparatively to integer order one. Performance and robustness results obtained will be presented and analyzed.]]>
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var str = 'Djebbri, Sihem';
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]]>
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var str = 'Balaska, Hanane';
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]]>
var options = {
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var str = 'LADACI, Samir';
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]]>
Algerian Journal of Signals and Systems ; Vol. 5 No. 1 (2020); 40-46]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v5i1]]>
Laboratory of Signals and Systems, Algeria]]>
2020-03-15]]>
Copyright (c) 2020 Sihem Djebbri, Hanane Balaska, Samir LADACI]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/94/77]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/94]]>
10.51485/ajss.v5i1.94]]>
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var str = 'Design of Decentralized Fractional Order PIʎ Controller for Pilot Plant Binary Didtillation Column';
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]]>
Decentralized PI controller]]>
Pilot plant binary distillation column]]>
TITO]]>
PSO]]>
Integral criterion]]>
This paper presents the application of fractional order operators to improve the control quality of multivariable systems. The basic ideas of this tuning method are based, in the first place, on the existed tuning methods for setting the parameters of the decentralized fractional order PIʎ controller for ʎ=1, which means setting the parameters of the classical decentralized PI controller, and the minimum integral criterion by using Particle Swarm Optimization (PSO) algorithm for setting the fractional integration action order ʎ. The integral criterion is formulated to improve the dynamic response of the system, while causing a good decoupling between control loops. The Distillation Column, which is a multivariable system with two inputs and two outputs (TITO), in a decentralized control structure, is analyzed. Simulation results are presented to show the control quality improvement of this proposed decentralized fractional order PIʎ controller tuning method compared to the decentralized PI controller tuned using any existed tuning method.]]>
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var str = 'BETTOU, KHALFA';
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]]>
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var str = 'CHAREF , ABDELFATEH';
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]]>
Algerian Journal of Signals and Systems ; Vol. 5 No. 1 (2020); 33-39]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v5i1]]>
Laboratory of Signals and Systems, Algeria]]>
2020-03-15]]>
Copyright (c) 2020 KHALFA BETTOU, ABDELFATEH CHAREF]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/93/76]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/93]]>
10.51485/ajss.v5i1.93]]>
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var str = 'Risk Assessment of a Gas Plant (Unit 30 Skikda Refinery) Using Hazop &Bowtie Methods, Simulation of Dangerous Scenarios Using ALOHA Software';
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]]>
Safety]]>
probabilistic risk assessment]]>
outcome frequency]]>
event tree analysis]]>
Process plant and chemical processes are complex and large systems, consisting of thousands of devices interacting with each other [76][45]. The structure of this type of industrial plants lead to difficulties in process control, hence deviations from the operation objectives or desired states. These deviations creates abnormal situations that drive products out of specification, increased operational costs, shut downs and even worse they can cause accidents, which may lead to damages of equipment, environment and affect the health. identifying hazards is fundamental for ensuring the safe design and operation in process plants. Based on the idea of learning from accidents, several techniques and standards are available to identify hazardous situations and help companies to build up strategies to avoid the hazards. In this s work we present a study based on two methods BOWTIE and HAZOP methods applied for an LPG a plant for gas separation located in SKIKDA refinery which is considered as the most important refinery in Algeria where the treatment capacity reaches more than 15 millions tones per year of crude oil. Several recommendations raised from our study to improve the safety of the plant particularly since it is considered as an old plant start working since 1980. The study is completed by simulating the deduced dangerous scenarios using ALOHA software.]]>
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var str = 'BENDIB , Riad';
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]]>
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var str = 'MECHHOUD, Elarkam';
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]]>
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var str = 'BENDJAMA , Hanane';
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Algerian Journal of Signals and Systems ; Vol. 5 No. 1 (2020); 25-32]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v5i1]]>
Laboratory of Signals and Systems, Algeria]]>
2020-03-15]]>
Copyright (c) 2020 Riad BENDIB , Elarkam MECHHOUD, Hanane BENDJAMA , Halima BOULKSIBAT]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/92/75]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/92]]>
10.51485/ajss.v5i1.92]]>
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var str = 'Analysis and Control Design for a Class of Fractional Order Time-Delay Systems';
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Fractional order control]]>
Time-delay systems]]>
Fractional PID controller]]>
Relay method]]>
Parameters adjustment]]>
In this paper, we consider a class of fractional order time-delay systems and propose a fractional order control design for their stabilization. The controller parameter’s adjustment is achieved in two steps: first, the relay approach is used to compute satisfactory classical PID coefficients, namely kp, Ti and Td. Then, the fractional orders ʎ and µ are optimized using performance criteria. Simulation results show the efficiency of the proposed design technique and its ability to enhance the PID control performance.]]>
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var str = 'BOUDANA, Marwa';
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var str = 'LADACI, Samir';
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var str = 'LOISEAU, Jean Jacques';
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]]>
Algerian Journal of Signals and Systems ; Vol. 5 No. 1 (2020); 18-24]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v5i1]]>
Laboratory of Signals and Systems, Algeria]]>
2020-03-15]]>
Copyright (c) 2020 Marwa BOUDANA, Samir LADACI, Jean Jacques LOISEAU]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/91/74]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/91]]>
10.51485/ajss.v5i1.91]]>