A new switching control algorithm based on state trajectory approximation is proposed to regulate the output voltage of a representative second-order DC-DC converter – the boost converter. The essence of the proposed algorithm is to trap the system into a stable limit cycle while ensuring the required voltage regulation. Unlike some of the earlier algorithms, the concept is applicable to both continuous and discontinuous current modes of operation, making it viable over a wide operating range under various load and line disturbances. A hybrid-automaton representation of the converter is used to perform the analysis, and the control problem is simplified to a guard-selection problem. Guard conditions, governing the transition of the converter operation from one discrete state to the other in a hybrid-automaton representation, are derived. The hybrid-automaton-based control system is implemented by using the state flow chart feature of MATLAB, and extensive simulations are carried out to check the suitability of the algorithm. The hybrid control law is also validated in real time by using a laboratory prototype. The experimental and simulation results prove the effectiveness of the proposed control law under varying line and load conditions.

In this paper we consider the problem of error localization of complex DFT codes and the reconstruction of message. A propagator-based subspace algorithm is proposed for error localization of quantized DFT codes. The propagator method requires only linear operations and does not require any eigendecomposition of syndrome covariance matrix as in conventional subspace method such as MUSIC etc. The performance of the proposed method is compared with MUSIC algorithm. Simulation results show that the proposed method performs equal to the MUSIC algorithm with less computational complexity.