Optimal Pi Controller Tuning for a Multivariable Flotation Column by Hyperbolic Tangent Weighted Error Function Using GA

摘要

This paper shows genetic algorithm (GA)-based PI (proportional Integral) feedback controller by Tan Hyperbolic Square Error (ITHSE) function weighted performance index for multivariable flotation column and is commonly used to separate minerals from ores of low grade. The process of flotation column is represented by a multivariable system with three inputs and three outputs. The PI controller parameters are optimized for decentralized flotation column working with water-air system, and comparisons are made with Ziegler-Nichols method and ISE with help of genetic algorithm. Simulation results show that the GA-based PI controller by Tan Hyperbolic Square Error (ITHSE) function can enhance the performance of multivariable flotation column.