Speaker
Description
Presented was the application of the Flower Pollination Optimisation Algorithm (FPA) on a Proportional Integral Derivative (PID) controller (FPC) for a satellite system. Different control techniques were proposed for satellite systems, and the Proportional Integral Derivative (PID) maintained its popularity due to its ease of application and simplicity. The FPA abilities made it worth exploring in order to assess its level of suitability for such systems. An analytical model was adapted from the works of Hassan et al., 2025. The proposed controller (FPC) was compared with the corresponding traditional PID type, whose optimal values were obtained using the toolbox in SIMULINK/MATLAB software. Results indicated a successful optimisation, which was reached at about the second iteration with an error (Integaral Time Absolute Error (ITAE)) of around 3.2235. The system showed improvement in terms of the rise time (rt), settling time (st), maximum overshoot (Mo) and cumulative error (Ce), whose values were: 0.2 s, 2 s, 2% and 0.3 respectively. The parameters mentioned accordingly for the system with the PID are: 2 s, 17 s, 15% and 2.275. Hence, 10, 9, 8 and 8 times improvements in terms of rt, st, Mo and Ce respectively. It means that the system with the FPC is faster, more accurate, less prone to changes and lower rate of error accumulation than with the PID scheme. The percentage change from the reference is 0.6% and 5% with the FPC and PID, respectively, making the system with the FPC better than with the PID. It means the system is more robust with the FPC. It is also expected that with further refinement the proposed approach could even be made better.