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Modeling and Analysis of a Real Time Spherical Tank Process for Sewage Treatment Plant |
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PP: 1491-1498 |
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doi:10.18576/amis/110528
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Author(s) |
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D. Mercy,
S. M. Girirajkumar,
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Abstract |
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| We discuss the tuning of PID controllers for a nonlinear unstable process models using Particle Swarm Optimization (PSO)
algorithm. The effectiveness of this scheme is validated through a comparative study with classical controller tuning methods, internal
model control method and heuristic method such as Particle Swarm Optimization (PSO). A real time implementation of the proposed
method is carried on a nonlinear spherical tank process using LabVIEW module; this design can be applicable for sewage treatment
plant and it is apparent that the PSO algorithm performs well on a nonlinear unstable process models considered in this work. The PSO
tuned controller offers enhanced process characteristics such as better time domain specifications, smooth reference tracking, supply
disturbance rejection, and error minimization compared to other controller tuning methods. |
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