Performance of Manual and Auto-Tuning PID Controller for Unstable Plant - Nano Satellite Attitude Control System

Over the last decades, control system and its design have been advancing rapidly to respond to the competition and demand of the industrial world, which are the key element in defining new successes. Therefore, pilot plants were created to explore and examine the effects of changing the conditions of a process, especially to control unstable systems. To execute a similar process, this work is directed towards the design, development and implementation of an auto-tuning Proportional Integral Derivative (PID) Controller for Innovative Satellite InnoSAT control attitude system. Auto-tuning PID controller was designed using MATLAB, Simulink as well as the optimization of PID controller without excessive mathematic calculations. This technique had faced few stumbling blocks in cases where the analysis and design were monotonous since the resolution involves trial and error. To overcome this issue, it was necessary to offer access to computers and programmable calculators to approach the tedious mathematical calculations using MATLAB software. The biggest asset from any developed program is its ability to showcase the compensated and uncompensated relationship as well as absorb how these relationships work directly from the date showed. The calculated results would then be confirmed by using manual, MATLAB and Simulink's calculations. The paper argues that human intervention during the trial and error process provides better control over unstable systems when compared with auto-tuning. In this paper, the value of Kp, Ti and Td will be calculated using manual calculation while step response graph for each cases will be solved using Simulink.