|
Introduction |
3 |
|
Chapter 1. Laws of motion of AES center of mass in the near-Earth space |
14 |
|
1.1. General motion equation of material point in the outer space |
- |
|
1.2. Motion equation of AES center of mass near the Earth |
16 |
|
1.3. Solution of motion equations of AES center of mass in the central gravitational field |
23 |
|
1.4. Peculiarities of AES disturbed motion |
33 |
|
1.5. Equations of mutual motion of SV in the near-Earth space |
39 |
|
1.6. Influence of deviations in initial conditions on AES motion trajectory |
42 |
|
1.7. General statement and solution principles of AES navigation problem using onboard measurements |
54 |
|
Chapter 2. Statement and solution methods of AES orientation problems |
62 |
|
2.1. General statement of AES orientation problems and selection of coordinate systems |
- |
|
2.2. Orientation parameters and kinematic equations of AES motion around the center of mass |
67 |
|
2.3. Possible solution algorithms for orientation kinematic equations |
74 |
|
Chapter 3. Sources of primary navigation information for solution of AES navigation and orientation problems |
80 |
|
3.1. General characteristic of primary navigation information sources |
- |
|
3.2. Inertial sources of primary navigation information |
85 |
|
3.3. Astronomical sources of primary navigation information |
92 |
|
3.4. Possibilities to use some physical fields for AES navigation and orientation |
105 |
|
3.5. Satellite navigation systems |
109 |
|
3.6. Land command-and-measurement complexes |
117 |
|
Chapter 4. Methods for determining AES orbit parameters at minimum amount of primary navigation information |
121 |
|
4.1. Problems of determining orbit parameters with the use of minimum amount of information |
- |
|
4.2. Determining position vector by measurements of zenith distances of two stars and flight altitude |
127 |
|
4.3. Refinement of the position vector by measurements of primary navigation parameters |
131 |
|
4.4. Determination of orbit parameters by measurements of the vector in several points |
137 |
|
Chapter 5. Statistical methods for estimation of AES orbit parameters and orientation |
146 |
|
5.1. General statement of determination problems for AES orbit parameters and orientation in statistical methods of information processing |
- |
|
5.2. General procedure of information processing by statistical methods |
151 |
|
5.3. Peculiarities of statistical processing methods application at estimating orbit parameters |
172 |
|
Chapter 6. AES inertial navigation and orientation systems |
178 |
|
6.1. Construction principles and classification of AES inertial navigation and orientation systems |
- |
|
6.2. Functioning algorithms of AES strapdown inertial navigation systems in orientation mode (on passive flight phases) |
206 |
|
6.3. Operation algorithms of AES strapdown inertial systems in navigation and orientation problem solution mode on active flight phases |
222 |
|
Chapter 7. AES integrated onboard navigation and orientation systems |
228 |
|
7.1. Structure, arrangement and composition of integrated onboard navigation and orientation systems for AES |
- |
|
7.2. Astroinertial measuring unit |
234 |
|
7.3. Functioning algorithms of integrated strapdown inertial navigation and orientation systems (SINOS) in orientation mode |
249 |
|
7.4. Algorithms of SINOS drift astrocorrection in orientation mode |
263 |
|
7.5. Algorithms for solution of navigation and orientation problems in emergency conditions |
270 |
|
Chapter 8. Methods for accuracy estimation of AES navigation and orientation problems solution by onboard autonomous systems |
276 |
|
8.1. Problems and possible ways of accuracy estimation of AES navigation and orientation problems solution |
- |
|
8.2. General procedure for navigation accuracy estimation at processing by the method of least squares |
280 |
|
8.3. Ways and possibilities of obtaining analytical accuracy estimates by using the results of statistical processing of discrete measurements |
283 |
|
8.4. Methods for accuracy estimation of AES navigation and orientation problems solution by imitation mathematical simulation |
307 |
|
Conclusions |
319 |
|
References |
320 |