Control of Liquid Sloshing Container Using Active Force Control Method

Abstract

This paper presents a robust control method to relieve the sloshing of liquid container transport using Active Force Control (AFC) method. A model of two degree-offreedom (2-DOF) liquid container transfer was implemented in this research as the main dynamical system to be controlled. The surface of liquid is maintained in a flat position, so that changes the slope of liquid surface countered by changing the acceleration of container. The focus of this research is how to use AFC method being applied to the system, so that it can suppress liquid sloshing. The control scheme were simulated, compare between PID-AFC and pure PID. Simulations has been conducted, the results show that the PID-AFC have superior performance to suppress the sloshing compared with pure PID, especially if disturbance occurred.

Liquid slosh control by implementing model-free PID controller with derivative filter based on PSO

“…Sum squared error (SSE) of slosh angle, is set as uppermost primacy followed by sum absolute error (SAE) of , sum square error (SSE) of cart position, , sum absolute error (SAE) of , overshoot (OS) of and settling time, Ts of . The main concern is to get the smallest number of these fitness functions which are as shown in (12) to (17). The personal best agent is updated based on (18) as…”

“…As an alternative, closed-loop control or feed-back control, which is popular with its robustness to external perturbation, has been applied to reduce the slosh of the liquid. For example, Variable Gain Super-twisting Algorithm (VGSTA) [11], sliding mode control [12], PID control [13][14][15],  H control [16], active force control (AFC) [17] and single input fuzzy logic controller [18].…”

H-infinity controller with graphical LMI region profile for liquid slosh suppression

“…Feedback control or closed-loop control, which is well known to be less sensitive to disturbances and parameter variations, has been implemented for reducing the liquid slosh. These include active force control (AFC) [2], PID control [3-5], H-infinity control [6], sliding mode control [7], Variable Gain Super-twisting Algorithm (VGSTA) for output feedback control [8], hybrid fuzzy-PID controller [9], single input fuzzy logic controller [10] and data-driven PID tuning using SPSA algorithm [11].…”