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Annotation on the master dissertation of the student Trunov

Master's thesis on "Improving the accuracy micromechanical sensor of angular velocity" volume 75 pages containing 63 figures, 3 tables and 30 sources for references.

Micromechanical gyroscopes are the primary sensors measuring the information included in the inertial navigation systems.

The use of sensitive items on microelectromechanical (MEMS) technology limited them significant in terms of noise, which leads to a rapid increase in the error in time and limited period of stand-alone use of guidance and control built on MEMS sensors. The main reason for the increasing uncertainty of the system focus on MEMS gyroscopes (MMG) is a low-frequency component of the random component of gyro output that leads to a rapid increase of error of navigation and control at the MMG and time limits of battery life.

The relevance of the study is that the mathematical model of unstable output MMG will find ways to reduce it, which will improve the accuracy of navigation and control systems for MMG time and increase their battery life.

The purpose of the master's thesis is to solve the following problems:

1. Get MMG mathematical model errors, which is a low component dependency errors from the time of the sensor.

2. Develop methods for identifying factors derived model for bench testing MMG.

3. Develop an algorithm error compensation for low component MMG and confirm the adequacy experimentally.

MMG object is as basic sensors inertial navigation systems of the aircraft.

The subject of study is the low-frequency components of the MMG error depending on the time of methods of identification at bench testing MMG and ways to reduce this error to provide desired measurement accuracy MMG.

In this paper, the method of identifying low-frequency component of zero output MMG and compensation algorithm random errors. The adequacy of the proposed method of random error compensation zero output MMG has been confirmed experimentally.

Scientific novelty of the results is as follows:

1. The mathematical model of low-frequency components of random error zero output micromechanical gyroscope;

2. The method of identification of coefficients of a mathematical model of low frequency components of random error zero output micromechanical gyroscope;

3. The algorithm of compensation for low component of random error zero output micromechanical gyroscope.

The results were made public at the X International Scientific Conference "Gyro technologies, navigation, traffic control and design of aerospace vehicles", Kiev, 2015.

 

Keywords: micromechanical gyroscope, low-frequency components, mathematical model, static test coefficient identification algorithm compensation.

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