Applied Mathematics & Information Sciences

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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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