This work presents an innovative approach for tuning the Kalman filter in INS/GNSS integration, combining states from the inertial navigation system (INS) and data from the Global Navigation Satellite System (GNSS) to enhance navigation accuracy. The INS uses measurements from accelerometers and gyroscopes, which are subject to uncertainties in scale factor, misalignment, non-orthogonality, and bias, as well as temporal, thermal, and vibration variations. The GNSS receiver faces challenges such as multipath, temporary signal loss, and susceptibility to high-frequency noise. The novel approach for Kalman filter tuning involves previously performing Monte Carlo simulations using ideal data from a predetermined trajectory, applying the inertial sensor error model. For the indirect filter, errors from inertial sensors are used, while, for the direct filter, navigation errors in position, velocity, and attitude are also considered to obtain the process noise covariance matrix Q. This methodology is tested and validated with real data from Castro Leite Consultoria’s commercial platforms, PINA-F and PINA-M. The results demonstrate the efficiency and consistency of the estimation technique, highlighting its applicability in real scenarios.

This article presents the development of Autopilot (AP) blocks for a fixed-wing aircraft and the implementation of a Processor In the Loop (PIL) test platform. The AP entails the control, guidance, and navigation blocks. The control block design employed classical control theory considering a Piper 4 aircraft model, and the MILF-8785C design requirements standard. The PIL test platform is composed of an AP running in a microcontroller and a simulated aircraft on a PC (Personal Computer). The results of three missions carried out on the PIL platform are presented. In these missions, the performed maneuvers are such that lateral and longitudinal controls are required. In all three cases, all predefined waypoints are achieved, indicating the success of the developed AP project. The AP test implemented in a microcontroller that can be embedded onto an aircraft for a real flight mission indicates the usefulness of the developed PIL platform.

This article analyzes the use of Remotely Piloted Aircrafts (RPA) in VOR (Very High Frequency Omnidirectional Range) flight inspection. Initially, tests were performed to check whether the Autopilot Positioning System (APS) met the regulatory requirements. The results of these tests indicated that the APS provided information within the standard regulations. A Hardware in the Loop (HIL) platform was implemented to perform flight tests following the waypoints generated by a mission automation routine. One test was performed without introducing disturbance into the proposed test platform. The other four tests were performed introducing errors in latitude and longitude in the APS into the platform. The errors introduced had the same characteristics as those measured in the initial tests, in order for the simulation tests to be as similar as possible to the real situation. The tests performed with positioning errors only did not lead to false misalignment detection. However, introducing positioning errors and a 4° VOR misalignment error, a misalignment of 3.99° was observed during the flight test. This is a value greater than the maximum one allowed by the regulations, and the system indicates the VOR misalignment. Five flight inspection tests were performed. In addition to the APS errors, tests with a modulation error were also conducted. Introducing a 4° VOR misalignment in conjunction with modulation error, a misalignment of 4.02° was observed, resulting in successful misalignment detection.

Suddenly in March 2020 we found ourselves confined and isolated in our homes, due to a global health crisis arising from a pandemic, caused by the contamination of a virus called COVID-19. This health crisis also generated a crisis in the social determinants of health, especially those related to the economy, education and culture. But it also generated another crisis, the psychosocial crisis, where populations affected by the effects of mental damage caused by the pandemic and isolation, showed important signs of stress. It is in this scenario that the Integrative Community Therapy, previously carried out in person, is renewed and reinvented. This article reports on the experience of implementing the Integrative Community Therapy online in Brazil and presents the results of the Afinando Vidas Pole in the contribution of improving the quality of life and the individual and collective mental health of the Brazilian population.