PID control algorithm has the advantages of precision and stability, but it is difficult to meet the requirements of complex control, and the improved PID algorithm is in urgent need of development. Fuzzy PID algorithm combined with the advantages of fuzzy and PID, has the characteristics of fast and stable, its application is more extensive. Controller is a kind of encapsulation of the data, method and interface technology, this paper use VC6.0 design controller of fuzzy PID algorithm, in the "zutaiwang" running environment of double let water tank liquid level control, the experiment shows that the fuzzy PID control algorithm is compared with PID control, faster to achieve stability, and both are no steady-state error. The control algorithm control is easy to use and is an effective packaging for the algorithm.

In the radio observation based on the large single antenna, in order to reduce the interference of navigation signal L 2 from observation of the red-shifted H I spectral line at L-band, we used the an auxiliary channel and normalized LMS algorithm, and proposed new evaluating indicators deduced by theoretical method. Finally, we verified the suppression performance and the indicators' utility by multiple simulations and statistical method.

Pulsar study is one of the important issues on radio astronomy; however, the quality of pulsar observations is affected by the spectrum overlaps with navigation signals. Actually, pulsar signals and navigation signals are usually overwhelmed in the noise. Thus this paper focuses on the application of observation data to build two evaluation indexes, which are the interference suppression ratio and the signal loss ratio. The method to eliminate navigation signals is guided by these two indexes. Combined with the spatial characteristic of navigation signals, this paper proposed a modified adaptive side-lobe cancellation method based on noise suppression. The noise component in the interference subspace is estimated and eliminated by the eigenvalue decomposition, and then the optimum weight vector is obtained. Finally navigation signals in observation data are effectively suppressed. Simulation results show that compared with the eigenspace-based algorithm for adaptive antenna side-lobe cancellation, the interference suppression ratio of the proposed method has been increased by 10~20dB.