Comparison of Tuning Methods of PID Controllers of Two Conical Tank System of Interacting Type

Abstract

The rapid increasing complexity of modern control systems has accentuated the idea of

applying new modern approaches in order to solve design problems for various control

engineering applications. This paper deals with the tuning of PID controllers for complex

nonlinear process of two interacting Conical Tank Systems. Conical tanks play vital role

in leaching extractions in pharmaceutical and chemical industries, as well as in food

processing industry. It is a kind of multiple-use equipment, designed for boiling and

extraction working procedure. Level control of a conical tank is a tedious process

because of its non-linear characteristics hence proportional-Integral-Derivative (PID)

control schemes have been widely used to overcome the issue by applying different

controlling techniques. A PID controller is otherwise called as three term-control which

has three constant parameters and it takes the present error, accumulation of past errors

and prediction of future errors into account based upon the current rate of change of

error, respectively. The proposed control strategy includes the tuning of PID controller

using Ziegler-Nicholos (Z-N) method and intelligent techniques like Genetic Algorithm

(GA). The scope of this paper is to compare the different conventional tuning methods for

single input single output (SISO) systems such as Z-N, Tyreus-Luben (T-L), Internal

Model Control (IMC) and GA to predict the most efficient controller. The factors for

comparison include time domain specifications and performance of the controller. The

performance of the controller for different tuning rules has been investigated in a

MATLAB simulation Platform in which Genetic Algorithm outperformed well when

compared to all other controllers in terms of time domain specification and performance

index.

Keywords: Conical tank, interacting system, non-linear, PID, controller, performance and genetic algorithm