![]() The flight controller features an integrated distributed fault diagnosis and situation assessment system that allows the aircraft to reconfigure itself or adjust its flight plan in the event of a failure. In the event of sensor failure, the system seamlessly switches to another to maintain flight control reliability. This allows a DJI flight controller to identify and even bypass faulty or malfunctioning modules to ensure flight stability.Ĭritical sensors are redundant, working together with analytical redundancy and advanced diagnostic algorithms, the flight controller compares the data stream coming from each sensor and validates them. Additionally, many differently configured algorithms are running simultaneously to cross check all information and provide another layer of redundancy. The system utilizes all sensor information to get best estimate of the status of the entire system. For instance, GPS and barometer both capture altitude information. Each sensor has independently been refined to maximize accuracy and reliability, and data is backed up by related sensors. The entire flight controller system is made up of a plethora of sensors for gathering flight data. The use of uncertainty modeling and real-time system identification allows the controller to adapt to system failures and minimize their impact.Ģ. ![]() Based on quantitative feedback theory and a hyper-accurate 2DOF (two degrees of freedom) controller architecture, flight controller performance and reliability are simultaneously disconnected and optimized. System dynamics and thousands of variables that could occur in flight have been extensively modeled and identified to ensure that flight is easy and stable in any scenario. Here are 5 reasons that DJI flight controllers are the most advanced in the consumer drone space.Īll DJI flight controllers are designed using advanced control theory to achieve unparalleled responsiveness, accuracy and reliability. With over 10 years of expertise, DJI has refined flight controllers to peak performance. The way a flight controller functions can mean the difference between athletic and laggardly flying or reliable vs unreliable. It is the brain, taking data in from a range of sensors and acting on them to keep an aircraft flying safely. The observations are validated in time domain with numerical simulations.Flight controllers are arguably the most important part of a drone. We present several observations and perform the analysis for the closed-loop dynamics of a large drone model. For an abstracted redundant system, we derive the transfer functions for the controller output error excited by pilot inputs and analyze the effects of different operational sequences also considering state equalization. In this work, we present the frequency domain analysis of the inherent errors in redundant controller outputs that result from timing offsets in an asynchronously operating flight control system. In an asynchronous system, inherent signal errors introduced to the system due to timing offsets can affect the excitation of signals used for failure monitoring and redundancy management. Redundancy management provides fault tolerant system operation when introducing redundancy to the system. ![]() Redundancy is a common means in the design of flight control system architectures, to meet demanding safety objectives for safety-critical applications.
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