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The presented tracking scheme is first tested with synthetic signals in order to highlight its capabilities.
To extract the maximum power from the SPV array, the incremental conductance maximum power point tracking scheme is utilized.
An adaptive backstepping tracking scheme is developed for a class of strict-feedback systems with unknown periodically time-varying parameters and unknown control gain functions.
Besides, a modified quasi-perfect tracking scheme is presented for those systems which may not have available future tracking trajectory information or have problem in high frequency disturbance rejection if the perfect tracking algorithm is applied.
Based on the common Lyapunov function method and the dynamic surface design technique, a common adaptive tracking scheme is constructed and the finite-time stability of the controlled closed-loop system is analyzed.
The novel tracking scheme is summarized as Algorithm 1.
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Furthermore, some notations defined in the proposed tracking scheme are described in Table 3.
According to the results, the location accuracy of the KF-based and FOSB-based tracking schemes is better than the non-tracking schemes.
Extensive tests are performed for cases with a fixed or free interface, and excellent agreement with the body-fitted or front tracking schemes is obtained.
The design of High Sensitivity acquisition and tracking schemes is supported by an extensive simulation test campaign using a software receiver implementation and navigation results are validated by means of an end-to-end software simulator.
For this 2-D model, a comparison of the computational complexity of the KF-based and the proposed FOSB-based tracking schemes is presented in Table 4.
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