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- INCREMENTING IN MATLAB 2018B GENERATOR
- INCREMENTING IN MATLAB 2018B UPDATE
- INCREMENTING IN MATLAB 2018B VERIFICATION
- INCREMENTING IN MATLAB 2018B SIMULATOR
The other one is the circular motion or turn that has radial acceleration with 50 g furthermore, all the velocities and derivations follow the sinusoidal waveform. The first one is the linear acceleration that has phase step with 50 g, wherein the acceleration is a constant. Two types of highly straightforward models are commonly used. Moreover, the integration of these manoeuvres can be simulated. The methods based on pure mathematical models mainly depend on the vehicle’s straightforward manoeuvre, such as climbing up, straight flight, turning flight and diving.
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Conclusions are drawn in Section 6.įor the IMU signal generator, over the decades, various approaches have been developed, which can be classified into three general categories: pure mathematical models, kinematic or dynamic models and actual flight-data based methods.
INCREMENTING IN MATLAB 2018B GENERATOR
Simulation tests for analytic IMU signal generator validation are presented in Section 5. Section 4 provides two-point piecewise cubic spline interpolation, analytic integration, norm corrections and error analysis of interpolated dual quaternions. Section 3 provides a dual quaternion representation of angular increments and specific force integral increments for IMU measurements simulation. Section 2 introduces the related works about the IMU signal generator and dual quaternions. (3) Compared with state-of-the-art methods, the proposed method generates signals with the highest accuracy in a relatively short computation time. (2) The effectiveness and efficiency of the proposed algorithm are validated by extensive simulation experiments. The main contributions of this paper can be summarized as follows: (1) A novel IMU signal generation algorithm is proposed based on dual quaternions and actual flight data. The spline interpolation method is used to generate analytic continuous-time kinematic simulation trajectory. The post-processed GNSS navigation solution and a low-cost loosely coupled SINS/GNSS integrated navigation system provide position, velocity and attitude parameters at discrete time intervals (1 Hz). Actual GNSS navigation data files (including satellite ephemeris) and observation data files (including GNSS’s pseudorange and their rate measurements) can be obtained through practical flight experiments. In this paper, an actual-flight-data based IMU signal generation algorithm is presented.
INCREMENTING IN MATLAB 2018B UPDATE
Various SINS algorithms and update rates can be evaluated under the dynamic environment in trajectories through simulations. The followings are required for a IMU signal generator to be used in the tightly coupled SINS/GNSS integration simulation:
INCREMENTING IN MATLAB 2018B SIMULATOR
Moreover, a corresponding IMU signal simulator is also necessary to provide gyro and accelerometer measurements for the strapdown inertial navigation system (SINS) and GNSS integration research.
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A Global Navigation Satellite System (GNSS) signal simulator is required to generate multiple synchronous signals, one for each satellite in view, and to generate consistent navigation data for the receiver to be able to compute the position.
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It can be used in industrial robots for motion control, path planning of unmanned aerial vehicles (UAV), tightly coupled integrated navigation research and guidance system simulation.
INCREMENTING IN MATLAB 2018B VERIFICATION
Inertial measurement unit (IMU) signal generators have been used in numerous engineering fields for algorithm testing and verification to reduce experimental costs and shorten developing time under laboratory conditions.