OPTIMIZATION OF SYSTEM STRUCTURE AND MRAC ADAPTIVE CONTROL DESIGN FOR ADSORPTION SYSTEMS IN BATIK WASTEWATER TREATMENT

• Main Author: Effendi, Caleb
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/81531
• Institution: Institut Teknologi Bandung

The batik industry in Indonesia is rapidly growing. However, this growth is not accompanied by adequate waste treatment, leading to serious issues for both humans and the environment. The turbidity level indicates that batik waste contains residual substances from the dyeing process. One technique for treating batik wastewater is the adsorption process using a fixed-bed adsorbent method. A batik wastewater adsorption system has been developed in the Material Processing Laboratory of the Engineering Physics Department at Institut Teknologi Bandung. This research focuses on optimizing the structure of the existing batik wastewater adsorption system and designing and testing an adaptive control (MRAC) for the system. Data acquisition for system model determination has been conducted on ThingSpeak using turbidity sensors with various pump input percentages of 50% and 100% and adsorbent quantities of 4, 8, and 12 units. This data is used to identify the system model. The identified model dynamics are in the form of a first-order system equation with a time delay, where the gain (k) and time constant (?) vary based on changes in pump input and the adsorbent quantity, with a model accuracy of approximately 80.22%. The obtained k values range between 7.06 and 51.96, while ? values range from 1331 seconds to 3293 seconds. The MRAC control simulation design uses a reference model with a faster response than the open loop, with a time constant of 859 seconds, and uses ? and ?_0 parameters from system identification. It was found that turbidity could be reduced from 200 NTU to below 100 NTU. From the MINLP optimization system, it was found that the recirculation flow has a greater impact on clarifying wastewater than the amount of adsorbent. It was also determined that for wastewater with a turbidity of 200 NTU, only one tank unit and a recirculation pump are needed. Keywords: batik waste adsorption system, system identification, MINLP optimization, MRAC