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Full-Text Articles in Mechanical Engineering
Intelligent System Identification Using Neural Networks And Genetic Algorithms Of An Ultrasonic Positioning System, Nishant Unnikrishnan, Ajay Mahajan
Intelligent System Identification Using Neural Networks And Genetic Algorithms Of An Ultrasonic Positioning System, Nishant Unnikrishnan, Ajay Mahajan
Dr. Ajay Mahajan
This paper presents an intelligent system identification methodology for the identification of a realistic model of an ultrasonic position estimation system that uses the difference in the time of arrivals of waves from a transmitter to various receivers. Even though a linearized formulation for the 3D system exists and is currently being used to estimate the position of the transmitter, its accuracy can still be improved further. A neural network approach is developed to train the system based on training sets obtained from the actual system, and it is proposed to use the final trained system to estimate the 3D …
Optimization Of Threshold Values For Estimators Based On Single-Bit Quantized Sensors Using Genetic Algorithms, Nishant Unnikrishnan, Ajay Mahajan, Antonios Mengoulis, R. Viswanathan
Optimization Of Threshold Values For Estimators Based On Single-Bit Quantized Sensors Using Genetic Algorithms, Nishant Unnikrishnan, Ajay Mahajan, Antonios Mengoulis, R. Viswanathan
Dr. Ajay Mahajan
The paper considers the problem of signal parameter estimation using a collection of distributed sensors called a sensor pack. Each sensor quantizes its data to one-bit information and sends it to a fusion processor for the estimation of the parameter. Estimation of a constant signal in additive noise is considered. Estimators are formulated based on one-bit sensor data and their mean squared error (MSE) performances are evaluated through simulation studies. It is shown that selecting certain threshold values for quantizing the sensor outputs can lower the MSE. Genetic algorithms are used to find the optimal threshold values for the sensors. …
Genetic Algorithms — A Novel Technique To Optimize Coal Preparation Plants, Vishal Gupta, Manoj Mohanty, Ajay Mahajan, S. Biswal
Genetic Algorithms — A Novel Technique To Optimize Coal Preparation Plants, Vishal Gupta, Manoj Mohanty, Ajay Mahajan, S. Biswal
Dr. Ajay Mahajan
A coal preparation plant typically operates with multiple cleaning circuits based on the particle size distribution of run-of-mine coal. Clean coal product from a plant commonly has to satisfy multiple product quality constraints, including product ash, product sulfur, heating value, moisture content, etc. Numerous studies in the past illustrate that the optimal yield of the plant can be obtained by operating each circuit to produce the same incremental product quality. This equal incremental product quality approach optimizes the plant yield considering only one product quality at a time. Thus, when required to simultaneously satisfy multiple product quality constraints, the process …
Performance Optimization Of A Coal Preparation Plant Using Genetic Algorithms, Vishal Gupta, Manoj Mohanty, Ajay Mahajan, Surendra Biswal
Performance Optimization Of A Coal Preparation Plant Using Genetic Algorithms, Vishal Gupta, Manoj Mohanty, Ajay Mahajan, Surendra Biswal
Dr. Ajay Mahajan
A coal preparation plant typically has multiple cleaning circuits based on size of coal particles. The traditional way of optimizing the plant output and meeting the product constraints such as ash, sulfur and moisture content is to equalize the average product quality from each circuit. The present study includes multiple incremental product quality approach to optimize the clean coal recovery while satisfying the product constraints. The plant output was optimized at the given constraints of 7.5% ash and 1.3% sulfur. It was observed that utilizing incremental product quality process gives 2.13% higher yield which can generate additional revenue of $4,260,000 …
A Genetic Algorithm-Based Approach To Calculate The Optimal Configuration Of Ultrasonic Sensors In A 3d Position Estimation System, Probir Ray, Ajay Mahajan
A Genetic Algorithm-Based Approach To Calculate The Optimal Configuration Of Ultrasonic Sensors In A 3d Position Estimation System, Probir Ray, Ajay Mahajan
Dr. Ajay Mahajan
This paper provides a genetic algorithm-based approach to calculate the optimal placement of receivers in a novel 3D position estimation system that uses a single transmitter and multiple receivers. The novelty in the system is the use of the difference in the times of arrival (TOAs) of an ultrasonic wave from the transmitter to the different receivers fixed in 3D space. This is a different approach to traditional systems that use the actual times of flight (TOFs) from the transmitter to the different receivers and triangulate the position of the transmitter. The new approach makes the system more accurate, makes …
The Optimal Control Of A Flexible Hull Robotic Undersea Vehicle Propelled By An Oscillating Foil, David Barrett, Mark Grosenbaugh, Michael Triantafyllou
The Optimal Control Of A Flexible Hull Robotic Undersea Vehicle Propelled By An Oscillating Foil, David Barrett, Mark Grosenbaugh, Michael Triantafyllou
David Barrett
Determining the optimal swimming motion for a flexible hull robotic undersea vehicle propelled by an oscillating foil is an acutely complex problem involving the vehicle's body kinematics and the hydrodynamics of the surrounding water. The overall intractability of the hydrodynamics of a flexible body precludes a purely analytical solution. The immense size of the experimental variable space prevents a purely empirical one. In order to overcome both difficulties, we have developed a self-optimizing motion controller based on a genetic algorithm. This controller effectively uses evolutionary principles to exponentially optimize swimming performance.