Metamodel-based Optimization of a PID Controller Parameters for a Coupled-tank System

Marwan Nafea (Universiti Teknologi Malaysia)
Abdul Rasyid Mohammad Ali (Universiti Teknologi Malaysia)
Jeevananthan Baliah (Jabil Circuit Guangzhou Economic and Technological Development District)
Mohamed Sultan Mohamed Ali (Universiti Teknologi Malaysia)

TELKOMNIKA (Telecommunication Computing Electronics and Control)
Vol 16, No 4: August 2018

Liquid flow and level control are essential requirements in various industries, such as paper manufacturing, petrochemical industries, waste management, and others. Controlling the liquids flow and levels in such industries is challenging due to the existence of nonlinearity and modeling uncertainties of the plants. This paper presents a method to control the liquid level in a second tank of a coupled-tank plant through variable manipulation of a water pump in the first tank. The optimum controller parameters of this plant are calculated using radial basis function neural network metamodel. A time-varying nonlinear dynamic model is developed and the corresponding linearized perturbation models are derived from the nonlinear model. The performance of the developed optimized controller using metamodeling is compared with the original large space design. In addition, linearized perturbation models are derived from the nonlinear dynamic model with time-varying parameters.