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Wireless sensor network (WSN) based on IEEE 802.15.4 technology continues to gain considerable importance. The present work is based on this standard and a cluster tree network topology. This network is divided into many subgroups, each of which is characterized by its special IEEE parameters (beacon order [BO] and superframe order [SO]). A mathematical model for computing energy consumption was proposed...
Wireless communication presents the most attractive sign of development in this decades. It contributes to the appearance of Wireless Sensor Network (WSN) which is invented in order to increase the supervision capacity for such phenomenon. It gets more regard from both the customers and the research society. (WSNs) is composed from numerous wireless sensor nodes which suffer from a very serious energy...
Modeling is the entire necessary step for the formulation of a mathematical model that can be developed from the physical laws governing the process. Modeling can be based on a knowledge model or a black box model. Nevertheless, black box modeling is not practice en real time operation; i.e the signal controls are not rich enough to cover all operating modes. So, in industries, a simulator of process...
In wireless communication, energy present very serious problem which could be easily affect the lifetime of all the network. The increasing of the wireless connected object lead to the appearance of a new notion which is the Internet of Thing. The growth of network size produce very important quantity of data as a result which request more quantity of energy to consume. The technology of the IEEE...
This paper treated the path planning problem of a group of robots working in the same workspace. The objective of each robot is to reach its goal point and avoid collision with the other robots or any static obstacles. The idea consists to express the repulsive force of each robots in function of the position of the other robots and then the overall system equations are solved. This system is used...
This paper deals with an improved approach of fault detection based on cellular neural network (CNN). This method is a simplified idea from the original CNN circuit in order to detect faults in real time by hardware implementation. This idea is very interesting for smart sensor design and implementation in embedded systems. In this work, a CNN is simulated as an observer in order to detect faulty...
Nowadays the energy consumption has become a critical challenge in Wireless Sensor Network (WSN). Wireless connection suffer from some weaknesse chiefly fault detection and energy efficiency which stay again the main problems in (WSN). Both was under the scope of research communities and industry engineers. We are interested to the IEEE 802.15.4 standard with beacon enabled mode. IEEE802.15.4 is a...
This paper deals with a number of experimental measurements curried out to evaluate the behavior of a BP 380 photovoltaic (PV) module under real environmental test conditions and for different values of load. A Maximum Power Point Tracking (MPPT) connected to a DC-DC boost converter is applied to extract the maximum available power generated by solar PV modules in order to supply load demands under...
This paper describes a dynamic modeling and control of a multizone building where the thermal exchange, the coupling between the areas and the human occupation energy are taken into account. The thermal regulation in the building is ensured by a HVAC (Heating, Ventilation and Air Conditioning) system in which many parameters are involved. The HVAC systems are the main equipment for human life, but...
This work describes and validate a Linear Parameter Varying (LPV) model of a real benchmark of wind power system. With a nonlinear model of this process, the use of identification and control concepts for linear model as developed in the literature isn't useful to be used. So that, the nonlinear systems are approximated to Linear Time Invariant (LTI) systems, that is a local approximation of real...
This work presents a new approach to solve the problem of local minimum which happens usually in the case of multiple robots navigation. The multi-robot path planning based on artificial potential field is among of the most popular method for trajectory planning. However, in some spatial-temporal coordinates, the algebraic sum of all the potentials generated by all the torques/forces is null. In such...
Wireless sensor networks are gaining more and more attention these days. They gave us the chance of collecting data from noisy environment. So it becomes possible to obtain precise and continuous monitoring of different phenomenons. However wireless Sensor Network (WSN) is affected by many anomalies that occur due to software or hardware problems. So various protocols are developed in order to detect...
In this paper, we present a fault detection approach of a linear parameter varying (LPV) system using residuals generator based on the use of the predictor based LPV subspace identification approach (LPV PBSID). To address this problem of fault detection in the pitch subsystem considered in the wind turbine benchmark introduced in IFAC SAFEPROCESS 2009, the failure events are caused by jumps in the...
This paper deals with a hard ware fault detection occurred on a temperature sensing unit of a wireless sensor node. The temperature sensing unit is equivalent to a tmp36 device and the fault considered is equivalent to parameter change due to hard shock. It is used in many applications in wireless sensor network for detection temperature. The fault detection approaches are based on the model of this...
The chemical reactor is a fairly complex industrial system and presents several variables, so an online identification of the process parameters is required to adjust the process control loops. This paper deals with continuous time and delay system identification of the chemical reactor. The identification of linear and multi-input multi-output (MIMO) system is based firstly, on the Least Square/...
Because of the dependence of the parameters in the chemical reactor industries to the raw material used in processes, an online identification of the process parameters is necessary to adjust the process control loops. This paper deals with continuous time and delay system identification of the chemical reactor. The identification of linear and single input-single output (SISO) system is based on...
In their practical applications, Wireless Sensor Networks (WSNs) can experience faults during running. Furthermore, faulty data collected in the base station might lead to a wrong judgement. Since the whole system's performance require the accuracy of data, node fault detection is necessary. Motivated by the requirement of fault detection performance, we propose a distributed fault detection algorithm...
This work deals with the physical modeling of the phosphoric unit in the Tunisian Chemical Group (TCG). The process is consisting of a continuous reactor and a rotary filter. This study focuses on the different physical laws involved in the filtration step and the attack step combined with different actuators models in order to get a simulator of the global process. In control, this system is Multiple...
Wireless Sensor Networks (WSN) can experience faults during deployment either due to its hardware malfunctioning or software failure or even harsh environmental factors. This results into presence of anomalies in their time-series collected data. So, these anomalies demand for reliable detection strategies to support in long term and/or in large scale WSN deployments. These data of physical variables...
This paper introduces a procedure for the design of reconfigurable linear quadratic (LQ) state-feedback control tolerant to actuator fault. In fact, this work is based on a fast adaptive fault diagnosis observer. We consider the Unknown Input Observer (UIO) which is subsequently used for a robust fault detection scheme and also as an adaptive detection scheme for an additive actuator fault. Stability...
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