Informatics Publishing Limited

R. Kalaivani ¹, K. Sudhagar ², P. Lakshmi ³

Affiliations
1 DEEE, Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Avadi, Chennai - 600062, Tamil Nadu, IN
2 Murugappa Polytecnic College, Avadi, Chennai - 600062, Tamil Nadu, IN
3 DEEE, CEG, Anna University, Chennai - 600025, Tamil Nadu, IN

Abstract

This paper presents a novel Neural Network (NN) based vibration control of a Vehicle Active Suspension System (VASS) when subjected to road disturbance for enhancing the travelling comfort to the passengers. The simulation for the vibration control of VASS with Proportional Integral and Derivative (PID) controller is used for training the NN. The nonlinearities of the system parameters can be effectively handled by the NN and also it can deal with unfocused data by considering the prejudiced phenomena such as logical reasoning and perception beyond its domain. The idea of this work is to design, simulate and compare the performance of NN based VASS with that of the uncontrolled suspension system (passive) and the VASS controlled with PID controller. The Root Mean Square (RMS) value of body acceleration as the performance index for genetic optimization, the simulation is carried out using MATLAB/SIMULINK software. Simulation results such as sprung mass displacement, body acceleration, suspension deflection, tyre deflection and Power Spectral Density (PSD) of body acceleration shows the effectiveness of NN in suppression of the vibration of vehicle body compared to passive system, PID based VASS and optimized PID controller.

Keywords

Genetic Algorithms, Neural Networks, Simulation, Suspensions, Vibration Control

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M. Bala Subramanian ¹, K. Sudhagar ², G. Rajarajeswari ³

Affiliations
1 Department of CSE, Bharath University, Chennai - 600073, Tamil Nadu, IN
2 Murugappa Polytechnic College, Chennai - 600062, Tamil Nadu, IN
3 Department of IT, RRASE College of Engineering, Chennai - 601301, Tamil Nadu, IN

Abstract

Background/Objectives: To design a navigation control architecture which attempts to identify optimal path for a mobile robot agent to move from initial position to target position, in an environment where multiple path exists. Methods/ Statistical Analysis: The design of navigation control architecture determines how all the components are integrated and it is completely depends on its requirement and since, there is no standard reference architectures exists, we propose an architecture for mobile robot system, with three-tier user centric layer approach with hybrid methodology. The integration and interaction between the three layers are both centralized as well as distributed and, choice of selecting the path planner mechanism differs from existing system. Findings: In this paper, various existing robot architectures were reviewed in high level. A Hybrid methodology is used to adopt along with dynamic modelling approach for motion planning system and geometric modelling approach for path planning system, to suit the design complexity. The Path planner control system model proposed in this paper focuses much on agent based path planning system and motion planning system, which plays critical role in controlling the movement of a non-holonomic robot system. Application/Improvements: The efficiency of the proposed architecture is yet to be evaluated by applying this system in real time application

Keywords

Autonomous Mobile Robot, Control Architectures, Feedback Mechanism, Layered Approach, Navigation System, Path Planning

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K. S. Sekar ¹, K. Sudhagar ¹, S. N. Murugesan ²

Affiliations
1 Murugappa Polytechnic College, Chennai, Tamilnadu, IN
2 Rajalakshmi Engg. College, Chennai, Tamilnadu, IN

Abstract

The capabilities of presses are sometimes limited due to larger cutting force requirement for some sheet metal operations. Reducing the tonnage requirements for such operations will sometimes make the presses capable of doing such operations. FEM simulation can be a reliable tool in predicting the amount of tonnage required for the metal stamping operation. An attempt is taken in this study to analyse the behaviour of the hole piercing operation in an automobile chain part using DEFORM 3D software. The main focus is on the prediction of tonnage requirement with different shear methods on the piercing. Simulations were conducted with flat, single sheared, double sheared, reverse double sheared, convex sheared and concave sheared punches and analyzed for variations in the press load. The phenomena of piercing are also observed through the simulation based on AISI 1060 steel component used for automobile chain as inner plate. Simulation results showed that the shear angles provided on piercing punches will reduce the punch load significantly.

Keywords

Automobile Chain, Hole Piercing, DEFORM 3D, Finite Element Simulation, Shear on Punch.

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