Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

This paper examines the performance of Model Predictive Control (MPC) scheme for an Active suspension. A vehicle suspension is designed to provide superior ride comfort and road handling characteristics. Unlike passive suspensions, the Active suspension can change the dynamic of suspension in real-time by injecting force into the system. MPC allows the active suspension to provide better and consistent passenger comfort and road handling capabilities for different road profile. Even though long back, the idea of active suspension conceived, the prohibitive cost and complexity restricted its usage. In recent years active suspension is receiving more and more attention with users preferring a high-end car. In an active suspension for the real-time adjustment of the control force, need a design of a controller. In literature, many controllers used such as Proportional Integral Derivative (PID), Linear Quadratic regulators (LQR), Fuzzy logic controller, Artificial Neural Networks (ANN). In this paper, revealed a model predictive control arrangement for Active suspension model. MPC is an optimal control scheme which uses a model of plant for predicting the future output. The control inputs are optimized such that these predicted outputs meet the desired level of performance. Tested the MPC control scheme is using a benchscale replica of Quarter active suspension model from QUANSER. To better appreciate the capabilities of the MPC Control Scheme, compared the performance of the active suspension with that of an LQR control scheme, and passive suspension.

Department of Control and Automation

School of Electrical Engineering

Vellore Campus

International Journal of Engineering and Advanced Technology Regular Issue

Active Suspension with Model Predictive Control

This paper deals with the development of a Simulink model for the control, protection and monitoring system of a diesel engine. Various sensors and switches involved in the engine protection and monitoring systems such as throttle position sensor (TPS), lube oil pressure sensor (OPS), coolant temperature sensor (CTS) and idle validation switch (IVS) are discussed in detail. Then, a comparison study of the speed control of the diesel engine was done using P, PI and PID controllers. Finally, a mathematical model of the diesel engine is derived using the System Identification Technique. The results obtained by formulating an accurate mathematical model and a precise controller allow the operator to establish the required engine protection parameters such as the coolant temperature, oil pressure and the speed of the engine.

World University root node

2019 Innovations in Power and Advanced Computing Technologies (i-PACT)

Diesel Engine Control and Protection Monitoring using PID Controller

In control of mobile robots, precision plays a key role in path tracking. In this paper we have intended to use hybrid stepper motors for precise control of the two wheeled robot. A control algorithm was developed to control the robot along different trajectories. We have found that stepper motors are more accurate for path tracking than normal DC motors with wheel encoders and one can obtain the implicit coordinates of the robot in runtime more precisely. Getting the precise coordinates of the robot at runtime can be used in various SLAM and VSLAM techniques for more accurate 3D mapping of the environment.

VIT Unitversity

Fulltext

E3S Web of Conferences

Path tracking mobile robot using steppers

This paper puts forward an adaptive predator–prey optimization algorithm to solve the weight selection problem of linear quadratic control applied for vibration control of vehicle suspension system. The proposed technique addresses the two key issues of PSO, namely (a) the premature convergence of the particles, and (b) the imbalance between exploration and exploitation of the particles in finding the global optimum. The main principle behind this optimization algorithm is that the inertia weight is adaptively updated based on the success rate of the particles to increase the convergence, and the predator–prey strategy is reinforced to avoid the particles getting trapped in a local minimum thereby, guaranteeing convergence of the particles towards the global optimal solution. The convergence of the particles towards the global minimum is guaranteed on the basis of a passivity argument. Moreover, the strength of this new adaptive optimization technique to tune the gains of linear quadratic regulator is validated experimentally on a laboratory scale active vehicle suspension system for improved ride comfort and passenger safety.

Applied Soft Computing

Adaptive predator–prey optimization for tuning of infinite horizon LQR applied to vehicle suspension system

Our project involves the generation of a path for modern driver assistant systems. It provides a cognizance of the objects ahead of the driver, which can play a major role in preventing accidents. Our algorithm is inspired from the data sets involving displacement and time. This provides the accurate position and velocity of the vehicle. To define the trajectory, polynomial equations can be used to explain this. The velocity and acceleration can be calculated according to coefficients of the polynomial equation. The number of coefficients determines the degree of the polynomial. By making use of a simulator, the trajectory generated can be studied. The objective of detection and trajectory generation is to provide a system that alerts the driver to the hurdles ahead so he/she is better placed to avoid a collision while the vehicle is moving.

Department of Embedded Technology

School of Electronics Engineering

System and Architecture Advances in Intelligent Systems and Computing

Trajectory Generation for Driver Assistance System

This paper deals with the addition of new functionality named as Glacial Initiate to the genset control module (GCM). This Glacial Initiate is for protection of engine from friction and to stop the failure of turbocharger And also to increases the throughput and performance of the genset. New Glacial Initiate acts as a support for the genset which in turn increase the life of the genset. To one of the connectors of the controller on engine side the air temperature sensor is attached which sense the ambient temperature. For the black box testing we have used potentiometer as a variable temperature sensor. A MATLAB/Simulink model is designed for simulating the actual working of the new Glacial initiates functionality.

2017 Innovations in Power and Advanced Computing Technologies (i-PACT)

Addition of new functionality ‘Glacial initiates’ to the GCM based on resistive sensor

Edge Detection is an ever-expanding frontier in the field of Digital Image Processing. Several research papers have been published in this domain in the past decade specifying many applications of edge detection methods using platforms like MATLAB or OpenCV like Hough, Canny, Sobel, Prewitt Trans- forms among many others. In this case study, various elaborations on basic methods of edge detection have been made and their applications have been discussed in real-time. Furthermore, the performance analysis is figure out by comparison between the results of Canny Edge Detection method and Hough Transforms. © IAEME Publication.

Department of Micro and Nanoelectronics

International Journal of Mechanical Engineering and Technology

A case study: Edge detection techniques using hough transform and canny edge algorithm

This paper is aimed at developing a swarm unmanned aerial vehicle (UAV) network for motion in free space controlled by an algorithm depending on axis-aligned minimum bounding space, and a collision is avoided by the use of a collision-free trajectory planning algorithm depending on the position of the UAVs by implementing the optimization technique named particle swarm optimization (PSO) algorithm for intelligent features. PSO is an algorithm where each quad has its own information and also combined information of the environment due to their interaction. Wireless network was used in swarm UAVs implementation to connect to a server processor that analyses the PSO equation and controls the quadcopters. This experiment includes 3 UAVs and one object as target (Stationary and Moving).

Proceedings of the International Conference on Soft Computing Systems Advances in Intelligent Systems and Computing

PSO Algorithm in Quadcopter Cluster for Unified Trajectory Planning Using Wireless Ad Hoc Network

The Universal Serial Bus (USB) Specification allows combination of different USB components into a single device. This creates a composite device and each component is recognized as an independent device. The aim of the paper is to introduce a novel concept to combine some commonly used USB classes in a single device to create a composite device that functions in multiple ways. The paper shows some ways of combining two different USB classes using available Real Time Operating System (RTOS). The paper explains the implementation of USB Human Interface Device class and USB Mass Storage Device the classes used in the two most commonly used peripheral devices, using available stack libraries and clearly explains the important aspects in implementing the said classes. The prototype device mentioned will function both as a pointing device and a storage device.

2015 International Conference on Industrial Instrumentation and Control (ICIC)

Novel multi-interface USB prototype device for merging commonly used peripheral devices

Indian Journal of Science and Technology

Low Cost Smart Home Design

Asymmetrical cascaded sub cell multilevel inverter is proposed here in order to overcome the disadvantages faced in the symmetrical cascaded multilevel inverter. Asymmetrically cascaded sub cell model is generated by grouping up basic unit cells in series connections in each phase of the model. DC supply voltages of basic unit sub cells in each phase will have an arithmetic sequence with common difference of E. Low frequency and high frequency pulse width modulation techniques (PWM) can be used efficiently and easily for different operating conditions. This proposed structure reduces the number of switching devices, no. of driver circuits, reduces installing space for the proposed model, cost and voltage across the switches. © Research India Publications.

Department of Energy and Power Electronics

International Journal of Applied Engineering Research

Performance of a 3-phase asymmetrical cascaded subcell multilevel inverter

The use of robots in the present day has moved on from industries to the normal day to day life. In such a scenario a healthy interface between humans and the robot is of dire need. The use of voice commands to control a robot is much easier for domestic as well as industrial users. This paper proposes the use of an android mobile to control a robot via voice commands. As an example a real mobile robot system is presented. Because the process of speech recognition depends on received sound quality, a comparison of voice commands transmitted via different cellular phones was performed. This paper includes the results of this compare son. © Research India Publications.