Automation of industrial processes using fractional order controllers tuned by swarm intelligence techniques

2^nd World Congress on Automation and Robotics

June 13-15, 2016 Philadelphia, USA

U Sabura Banu

B S Abdur Rahman University, India

Posters & Accepted Abstracts: Adv Robot Autom

Abstract :

Chemical plant has hundreds or thousands of control loops. The process includes linear or nonlinear loops, stable or unstable loops, interacting or non-interacting loops, time varying or time invariant loops, etc. Normally, the processes in nature have fractionality but approximated as integer order for modeling and controller design. When the process is modeled considering the fractionality, it will revolutionize the automation field. Identifying the model parameters and controller design are tedious if mathematical formulation is involved. In the present work, solution is provided by modeling and controller tuning by different types of systems using swarm intelligence techniques like Harmony search algorithm, bee colony optimization, bat algorithm, bacterial foraging, etc. Different types of controller schemes like fractional order PID controller, model predictive controller and internal model control, nonlinear fractional order PID controller is adopted which will serve as a viable solution to provide efficient and optimal control. The techniques can be adopted in different plants like power plant, petrochemical industries, pharmaceutical industries, paper and pulp industries, etc.

Biography :

Email: sabura.banu@bsauniv.ac.in