IAES International Journal of Robotics and Automation (IJRA)
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Development of alcohol triggered vehicle engine lock system
Get PDFDrunk driving is a very dangerous behavior caused as a result of excessive consumption of alcohol therefore causing distortion in the thought pattern of its victims with a large percentage being drivers of vehicles of all forms. Most of the traffic accidents recorded in recent years are related to drunk driving. Solutions have been proposed, devices developed, all to the sole aim which is to reduce traffic accidents due to drunk driving but none has been quite cable of impairing the driver’s ability to drive. To this end, we model and design an alcohol triggered vehicle engine lock system. This project’s ability to impair the driver’s ability to drive makes it stand out from previous methods or devices developed to reduce road accidents due to drunk driving. The entire system is based on a microcontroller that is used to set an alcohol limit/ threshold which when reached or crossed upon sensing of alcohol in the air by the alcohol sensor, would trigger the buzzer alarm and warning LED of the circuit to alert the driver that his/her blood alcohol concentration at that moment in time wouldn’t be safe for driving. At this point the system automatically locks the ignition system of the vehicle within which it is embedded while an LCD displays information for the driver’s visuals incase the driver’s sight isn’t also impaired while in the drunk state. This project is a prototype to what is proposed with the vehicle’s engine system represented with a DC motor and its ignition system represented with a push button. The overall work was implemented with a constructed work, tested working and perfectly functional
Design of one non-linear adaptive control system and study of its tracking
Get PDFIn this paper, an adaptive control method is proposed for a category of nonlinear systems. As the to begin with step in versatile controller plan, we select the control law which containing variable parameters. At that point select an adaption law for adjusting those parameters. We analyze the convergence properties and system stability using Lyapunov theory. The viability of the proposed approaches is appeared by implies of recreation on MATLAB
Optimization and comparative analysis of PID and FOPID controller for BLDC motor
Get PDFThe FOPID and PID controller are designed to control the speed of the BLDC motor. The parameters , , , λ and µ of these controller are optimized based on genetic algorithm. The optimized coefficients keep in track with zero error signals. The output of the controller is given to the variable dc source which varies the input voltage to the three phase inverter depending on the input signal. The three phase inverter gives the voltage to the BLDC motor which enhances the stability of the system. The effectiveness of the controller is demonstrated by simulation
Intelligent tuned PID controller for wind energy conversion system with permanent magnet synchronous generator and AC-DC-AC converters
Get PDFThis paper presents the intelligent tuned PID controller-based Single Ended Primary Inductor Converter (SEPIC) for Maximum Power Point Tracking (MPPT) operation of Wind Energy Conversion System (WECS). As the voltage and frequency of the Permanent Magnet Synchronous Generator (PMSG) varies with the wind speed changes, Intelligent controlled SEPIC is utilized to maintain the constant DC link voltage. The intelligent tuned PID controller combines the advantages of both conventional and soft controllers. The 1.5MW variable speed WECS (VSWECS) with AC-DC-AC converter is developed using MATLAB/Simulink software. PMSG delivers a load/utility grid through an uncontrolled diode rectifier, intelligent controlled SEPIC and three phase inverter. The real time implementation of the proposed system is done by the DSP processor MSP430F5529. The performance of the SEPIC is tested in both simulation and experiment at different wind speed conditions. The performance of the proposed Intelligent MPPT control of SEPIC are compared with the conventional PID controller. Intelligent tuning of PID controller such as Fuzzy-PID, and ANFIS-PID is implemented in the proposed system and results are compared. The simulation and experimental results reveals that the proposed ANFIS method provide improved performance than the conventional PID method in terms of power quality
Fuzzy neuro-genetic approach for feature selection and image classification in augmented reality systems
Get PDFIn this paper, a new approach for implementing an Augmented Reality system by applying fuzzy genetic neural networks is proposed. It consists of two components namely feature selection and classification modules. For feature detection, extraction and selection, the proposed model uses a fuzzy logic based incremental feature selection algorithm which has been proposed in this work in order to recognize the important features from 3D images. Moreover, this paper explains the implementation and results of the proposed algorithms for an Augmented Reality system using image recognition, feature extraction, feature selection and classification by considering the global and local features of the images. For this purpose, we propose a three layer fuzzy neural network that has been implemented based on weight adjustments using fuzzy rules in the convolutional neural networks with genetic algorithm for effective optimization of rules. The classification algorithm is also based on fuzzy neuro-genetic approach which consists of two phases namely Training phase and testing phase. During the training phase, rules are formed based on objects and these rules are applied during the testing phase for recognizing the objects which can be used in robotics for effective object recognition. From the experiments conducted in this work, it is proved that the proposed model is more accurate in 3D object recognition
Model of absorbed gamma radiation in the interaction with rock formation
Get PDFThe article discusses issues of improving the accuracy of operational quality control of iron ore in mountain ranges. There was proposed the use of the absorbed gamma radiation indicator as an improvement of the nuclear physics method for determining the iron content in ore mass are proposed. There were obtained the relationships of the sensitivity of the absorbed gamma radiation intensity on the distance between the detector and the irradiated surface, as well as on the distance between the source and the detector of gamma radiation
Environment mapping, map constructing, and path planning for underwater navigation of a low-cost µAUV in a cluttered nuclear storage pond
Get PDFThis paper presents a novel approach that enables a low-cost µAUV (micro autonomous underwater vehicle) navigate and work safely in an enclosed cluttered underwater environment. In order to achieve a autonomy collision-free navigation in underwater, it requires a reliable approach that would allow a µAUV which equipped with sparse and inaccurate sonar sensors to map the underwater environment, a map constructing algorithm that converts the obtained data to useful information to establish a map, and a path planning algorithm that plans a collision-free path from the start to the desired goal. The proposed approach will integrate environment survey, environment reconstruction, and path planning as a completed task, which involves map acquisition and path planning. A complete simulation of the environment topology acquisition and route planning process is documented in this paper
Identification of robust controller for 3hp 3Φ induction motor
Get PDFThis paper deals about the identification of robust controller for 3hp 3Φ induction motor which is used in cable industry (Ravicab cables private limited) at Bidadi. In this cable industry 3hp 3Φ induction motor is used for cable pulling purpose. This industry is using PID (Proportional derivative integral) controller based VFD (Voltage frequency drive) for controlling the speed of this 3hp 3Φ induction motor. This VFD is not functioning well for the non linear load and disturbance environment. Therefore in this paper Neural network based speed controller is proposed as proposed controller-I for replacing the PID based VFD. Performance of the 3hp 3Φ induction motor is estimated when Neural network controller is interfaced with the motor. Then Neuro-fuzzy controller based speed controller is proposed as proposed controller-II for replacing the PID based VFD. Performance of the 3hp 3Φ induction motor is estimated when Neuro-fuzzy controller is interfaced with the motor. At last robust controller for the 3hp 3Φ induction motor which is used for cable pulling purpose is going to be identified by doing comparison chart between Neural network and Neuro-fuzzy controller
Optimization of PID controller parameters using PSO for two area load frequency control
Get PDFIn this paper, an evolutionary computing approach for determining the optimal values for the proportional-integral-derivative (PID) controller parameters of load frequency control (LFC) of two area power system is presented. The proposed approach employs a particle swarm optimization technique to find optimum parameters. The state space model of two area power system and an Eigen value based objective function is considered. The effectiveness of the proposed approach is compared with integral control. Simulation results justify the proposed approach in terms of damping the oscillations, improved settling time, less over/under shoots
An anfis converter control approach of grid connected wind/PV/battery system
Get PDFThe major objective of this task is a control technique for power flow management of a network associated hybrid PV-wind-battery based system with multi-input transformer coupled bidirectional DC-DC converter using ANFIS controller is introduced. The proposed system intends to fulfill the demand of load, deal with the power flow from the distinctive sources, injects surplus power into the network and charge the battery from framework as and when required. A transformer coupled boost half-bridge converter is used to tackle power from wind, while bidirectional buck-boost converter is used to outfit control from PV alongside battery charging/releasing control. A single stage full-bridge bidirectional converter is used for ac loads and collaboration with grid. The proposed converter has reduced number of intensity change stages. This enhances the effectiveness and unwavering quality of the framework. In this article Adaptive Neuro Fuzzy interference System (ANFIS) is proposed for better performance of the system. Neural system has many inputs and also has multiple outputs but the fuzzy logic has multiple inputs and single output, so the combination of this two is known as ANFIS which is utilized for nonlinear applications. The proposed paper of simulation results acquired using MATLAB/Simulink demonstrate the execution of the proposed control procedure for power stream the executives under different methods of activity