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Articles by K. Ramkumar
Total Records ( 3 ) for K. Ramkumar
  P. Sowmya , G. Balasubramanian , S. Rakeshkumar and K. Ramkumar
  This study addresses the design of Genetic Algorithm (GA) based fuzzy controller for the non linear process. The process taken for this study is conical tank since most of the chemical industries use the same. The model of the process is identified by introducing a step change in inlet flow rate to the tank and recording the change in level with respect to time. The recorded data is plotted against time which is process reaction curve. From the process reaction curve the model parameter of the process is identified. For the identified model different controllers such as Internal Model Controller (IMC), fuzzy and GA based fuzzy controllers are designed and implemented in MATLAB environment. It was observed that GA based fuzzy controller outperformed the other controllers in terms of performance indices such as Integral Square Error (ISE), Integral Time Absolute Error (ITAE) and Integral Absolute Error (IAE) and Time domain specifications.
  P. Prasanna , S. Sethuraman , N.S. Manigandan and K. Ramkumar
  The efficient navigation of a mobile robot in any environment lies in effectively identifying the obstacles and the free space. Once they are identified the robot has to decide the free space so that it can reach the destination in an optimal path. There are several existing algorithms which has been adopted in the past to cater this issue. The algorithm's accountability not just rest with collision free navigation, but also in finding a solution with lesser time complexity. In this proposed method Laser Range Finder (LRF) readings are fuzzyfied using a linear fuzzy membership function. Defuzzification is done using a deciding distance which is applied as λ-cut. This provides a solution set with all possible collision free navigable paths locally (Perception phase). Finally, the path is chosen based on the environmental obstacle density (Decision phase). Experimental validation of the proposed algorithm was done in cluttered, sparse and closed environment with a Coroware’s mobile robot and the performance was highly satisfactory.
  Sivanandam Venkatesh , K. Ramkumar and Rengarajan Amirtharajan
  Humidity control plays significant role in various industries to get desired product output. An experiment was conducted in the laboratory scale to model a humidity process and to control the same. Open loop test was conducted for the humidity process by introducing the step change and the relative humidity of the exit air was measured. The data was best matched with first order process with time delay. Proportional Integral (PI) controllers based on Ziegler Nichols (ZN), Direct Synthesis (DS) and Internal Model Control (IMC) methods were simulated in MATLAB environment and the time domain specifications showed better performance for IMC and DS based PI controllers.
 
 
 
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