ADAPTIVE CONTROL MRAC DESIGN AND OPTIMIZATION OF PH NEUTRALIZATION SYSTEM STRUCTURE FOR WASTEWATER TREATMENT INSTALLATION IN BATIK INDUSTRY

• Main Author: Anwaril Firdaus, Muhammad
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/83575
• Institution: Institut Teknologi Bandung

The increasing value of batik exports has resulted in an increase in batik industry waste. Batik industry waste directly affects water quality characteristics such as Chemical Oxygen Demand (COD), Dissolved Oxygen (DO), and pH if discharged without undergoing treatment. The pH generated from batik industry waste ranges from 9.32 to 10.1. The pH neutralization process is needed so that the waste produced satisfy waste quality standards. The pH neutralization process can be controlled using Model Reference Adaptive Control adaptive control. In addition to the control method required, the pH neutralization process also requires optimization related to the concentration of neutralizer, the number of tanks, and the type of neutralizer in accordance with existing constraints. Optimization is performed using mixed-integer nonlinear programming. The data acquisition used in this research uses one Arduino Uno master and three Arduino Uno slaves. The communication used in the master and slave relationship uses I2C communication. In the openloop implementation with acetic acid neutralizer, the identification result parameters are obtained in the form of a gain (K) 2.504,8 /(mililiter/seconds), a delay time value (????????) 43 seconds, and a time constant (?) 72 seconds. The results of the closeloop implementation were carried out with two experiments. The first experiment uses a reference model with a time constant 50% smaller than the time constant of the openloop implementation and the second experiment uses a reference model with a time constant 40% smaller than the time constant of openloop implementation. In the first experiment, it was found that the system had a steady state time 28,6% smaller than openloop implementation result, and the second experiment found that the system had a steady state time 51,4% smaller than openloop implementation result. Optimization of the pH neutralization system structure is carried out on waste with a pH of 9,5 and 10. In waste with a pH of 9,5, the optimal neutralizer concentration results are in the range of 0,0011 M to 0,0019 M and only requires one pH neutralization process tank. Meanwhile, in the waste with a pH of 10, the optimal neutralizer concentration results are in the range of 0,0013 M to 0,0022 M and only requires one pH neutralization process tank. Keywords: pH neutralization, MRAC, optimization, mixed-integer nonlinear programming