Vinod Kumar

Publications (4) View all

• Conference Proceeding: 4. “Sliding Mode Controller for Active Vibration System”, Proceedings of the International Conference on Mathematics in Engineering & Business Management March 9th-10th 2012, Stella Maris College, Chennai, Vol-II, Pg-204-210. ISBN: 978-81-8286-015-5

  Vinod Kumar K.G
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  ABSTRACT: This paper presents the practical implementation of an active vibrational control (AVC) strategy to a laboratory scaled vibration isolator platform. The research was carried out to investigate the performance of vibration suppression capability and stability assurance of feedback controller using AVC. Three types of controller schemes were examined and compared involving the classic Genetic Algorithm (GA) tuned Fuzzy Logic Controller (FLC) and Particle Swarm Optimization (PSO) tuned Fuzzy Logic Controller (FLC) and Sliding mode controller (SMC). For both the optimization techniques the performance measure was chosen to be the RMS value of acceleration. The laboratory scaled physical rig was developed using the MATLAB/ Simulink tool and applied to a real time system. Appropriate vibration source was modeled and applied to the proposed systems to test for the system robustness. Results obtained in this study illustrated the potential and superiority of the proposed AFC scheme as a robust active vibration suppressor compared to the other schemes considered in the study. The Sliding mode controller (SMC) was used to obtain the optimal PSO Tuned FLC settings and optimal parameters of GA Tuned FLC. The results prove the effectiveness of the proposed Sliding mode controller scheme.
  Proceedings of the International Conference on Mathematics in Engineering & Business Management, Stella Maris College, Chennai; 03/2012
• Conference Proceeding: 3. “PSO Tuned Fuzzy Controller for Magnetic Levitation”,Proceedings of the International Conference on Stochastic Modelling and Simulation,Vel Tech Dr RR& Dr.SR Technical University, Chennai, 15-17 December, 2011, Allied Publishers Pvt Ltd, Pg-312-317. ISBN: 978-81-8424-743-5

  Vinod Kumar K.G
  [show abstract] [hide abstract]
  ABSTRACT: This paper presents the practical implementation of an active vibrational control (AVC) strategy to a laboratory scaled vibration isolator platform. The research was carried out to investigate the performance of vibration suppression capability and stability assurance of feedback controller using AVC. Two types of controller schemes were examined and compared involving the classic Genetic Algorithm (GA) tuned Fuzzy Logic Controller and proportional integral-derivative (PID) controller and Particle Swarm Optimisation. The laboratory scaled physical rig was developed using the MATLAB/ Simulink tool. Appropriate vibration source was modeled and applied to the proposed systems to test for the system robustness. Results obtained in this study illustrated the potential and superiority of the proposed AFC scheme as a robust active vibration suppressor compared to the other schemes considered in the study. The Particle Swarm Optimisation (PSO) was used to obtain the optimal PID controller settings and optimal parameters of GA Tuned Fuzzy Logic Controller. The results prove the effectiveness of the proposed Particle Swarm Optimisation scheme
  Proceedings of the International Conference on Stochastic Modelling and Simulation, Vel Tech Dr RR& Dr.SR Technical University, Chennai; 12/2011
• Conference Proceeding: 2. “Vibrational Controller for Magnetic Levitation “,Proceedings of First International Conference on Modern Trends in Instrumentation & Control 2nd & 3rd September, 2011, PSG College of Technology, Coimbatore, Pg-195-200

  Vinod Kumar K.G
  [show abstract] [hide abstract]
  ABSTRACT: This paper presents the practical implementation of an active vibrational control (AVC) strategy to a laboratory scaled vibration isolator platform. The research was carried out to investigate the performance of vibration suppression capability and stability assurance of feedback controller using AVC. Two types of controller schemes were examined and compared involving the classic proportional integral-derivative (PID) controller and Genetic Algorithm (GA) tuned Fuzzy Logic Controller. The laboratory scaled physical rig was developed using the MATLAB/ Simulink tool. Appropriate vibration source was modeled and applied to the proposed systems to test for the system robustness. Results obtained in this study illustrated the potential and superiority of the proposed AFC scheme as a robust active vibration suppressor compared to the other schemes considered in the study. The Genetic Algorithm (GA) was used to obtain the optimal PID controller settings and optimal parameters of Fuzzy Logic Controller. The results prove the effectiveness of the proposed Fuzzy Logic Control scheme.
  Proceedings of First International Conference on Modern Trends in Instrumentation & Control, PSG College of Technology, Coimbatore; 09/2011
• Conference Proceeding: 1. “Fuzzy Logic Controller for Magnetic Levitation System”, Proceedings of the International Conference on Mathematics and Computer Science ICMCS 2011, January 7 -8, 2011, Loyola College, Chennai, Pg-285-290 ISBN: 978-81-920490-0-7

  V.R.Ravi, Vinod Kumar K.G
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  ABSTRACT: A Magnetic Levitation System (Maglev’s) is considered as a good test-bed for the design and analysis of control system. It is a nonlinear unstable system with practical uses in high-speed transportation and magnetic bearings. In this paper non linear model and linearised model of the Magnetic Levitation System were developed. A PID controller was designed using linearised model. The objective of this paper is to investigate the performance of fuzzy logic controller in stabilizing Magnetic Levitation System. The Genetic Algorithm (GA) was used to obtain the optimal PID controller settings and optimal parameters of Fuzzy Logic Controller. The simulation studies were carried out for PID control and fuzzy logic controller performance were compared. The results prove the effectiveness of the proposed Fuzzy Logic Control scheme.
  Proceedings of the International Conference on Mathematics and Computer Science ICMCS 2011,, Loyola College, Chennai; 01/2011