An Adaptive Neuro-Fuzzy Model for Attitude Estimation and Control of a 3 DOF System

• DOI: 10.3390/math10060976
• Publication Date: 2022-03-21T01:34:27Z
• Authors: Xin Wang; Seyed Mehdi Abtahi; Mahmood Chahari; Tianyu Zhao
• Keywords: Observer (physics)

In recent decades, one of the scientists’ main concerns has been to improve accuracy satellite attitude, regardless expense. The obvious result is that a large number control strategies have used address this problem. study, an adaptive neuro-fuzzy integrated system (ANFIS) for attitude estimation and was developed. controller trained with data provided by optimal controller. Furthermore, pulse modulator generate right ON/OFF commands thruster actuator. To evaluate performance proposed in closed-loop simulation, ANFIS observer also estimate angular velocities using magnetometer, sun sensor, gyro data. However, new can jointly attitude. compared PID Monte Carlo simulation different initial conditions, disturbance, noise. results show surpass several aspects including time smoothness. addition, estimator examined demonstrate high ability designated observer. Consequently, evaluating revealed consumed less effort under noise uncertainty.