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PID Controller Tuning using Soft Computing Methodologies for Industrial ProcessA Comparative Approach
 
  • P-ISSN 0974-6846 E-ISSN 0974-5645

Indian Journal of Science and Technology

Article

Indian Journal of Science and Technology

Year: 2020, Volume: 7, Issue: Supplementary 7, Pages: 140–145

Original Article

PID Controller Tuning using Soft Computing Methodologies for Industrial ProcessA Comparative Approach

Abstract

Industrial Processes are non-linear, time variant and sensitive to disturbances. They are extremely complex and ­highly resistant to control. The dynamics of process offers great difficulty in controller design. Proportional, Integral, Derivative controller has been used in the process. In this context Z-N method has been used for controller tuning. Some disadvantages of Z-N method control technique for tuning a PID controller are: excessive number of rules to set the gain, inadequate ­dynamics of closed loop responses, and difficulty to deal with non-linear responses. The aim of this study is to ­develop a soft computing based PID control tuning methodology for optimizing the controller for the fitness function. In this approach, the transfer function of the marine processes has been taken for a simulation using MATLAB. From this simulation, outputs have proved their excellence in giving better results by improving the steady state characteristics and performance indices.

Keywords: Derivative controller, Integral, Non-Linear, Proportional, Soft Computing, Time Variant.

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