Robust Control of Distributed SAR Beam Synchronization Based on Inverse Optimal Method
Distributed SAR satellite formation has been widely studied and applied because of its unique advantages, and beam synchronization is the prerequisite for achieving its function. An inverse optimal control method is proposed for the ideal nominal system in this paper, which is based on two beam synchronization strategies of Doppler guidance and beam pointing synchronization. And on this basis, considering the influence of satellite communication delay, external disturbance and system model uncertainty, an integral sliding mode robust control method based on inverse optimal control is designed. The simulation results show that the control method has high control accuracy and good robustness.
KeywordsDistributed SAR Beam synchronization Inverse optimal control Robust control
This work is supported by the National Natural Science Foundation of China (91438202, 61473096, 61690212, 61333003), the Natural Science Foundation of Heilongjiang Province of China (Grant No. QC2012C082), the Open Fund of National Defense Key Discipline Laboratory of Micro-Spacecraft Technology (No. HIT.KLOF.MST.201701).
- 1.Li, C.S., Wang, W.J., Wang, P.B., et al.: Current situation and development trends of spaceborne SAR technology. J. Electron. Inf. Technol. 38(01), 229–240 (2016)Google Scholar
- 2.Huang, H.F., Liang, D.N.: Beam synchronization design strategies of noncooperative spaceborne bistatic radar. J. Astronaut. 26(5), 606–611 (2005)Google Scholar
- 3.Knedlik, S., Loffeld, O., Gebhardt, U.: On position and attitude determination requirements for future bistatic SAR experiments. In: IEEE International Conference on Geoscience and Remote Sensing Symposium (IGARSS), pp. 1216–1219 (2006)Google Scholar
- 5.He, D.L., Cao, X.B.: Beam synchronization strategy for distributed InSAR satellites formation. J. Astronaut. 30(5), 2031–2036 (2009)Google Scholar
- 6.Huai, C., Wang, W.Y.: Attitude strategy of beam synchronization for InSAR satellites formation. Aerosp. Shanghai 32(2), 22–27 (2015)Google Scholar
- 11.Yuri, S., Mohammed, T., Franck, P.: A novel adaptive-gain super-twisting sliding mode controller: methodology and application. Automatica 48(5) (2012)Google Scholar