Predictive current control algorithm which based on deadbeat theory is studied in this paper which can improve the current control performance of PMSM. In order to obtain high control effect, on-line access to accurate motor parameters such as fault diagnosis, condition monitoring is important in many areas, especially to improve the traditional deadbeat predictive current control algorithm sensitivity to inductance error, this paper presents an inductor-based parameter identification current predictive control algorithm of permanent magnet synchronous motor based on least mean square (LMS) theory. By Simulation the identified inductance will be feed back to the control model to improve the system tolerance of inductance error. A 0.75KW PMSM is involved to verify the performance of the proposed algorithm, then present and analyse the simulation and experiment results.

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To enhance the current regulation capability for PMSM when transient state, which caused by the existence of numerical delay such as current sampling and Pulse-Width Modulation (PWM) duty-cycle updating, this paper proposed a predictive current control algorithm for permanent magnet synchronous motor which based on deadbeat control. The numerical delays in conventional FOC system are eliminated in theory. Simulation and experiment results show that the PMSM (Permanent Magnet Synchronous Motor) current predictive control scheme improves both the dynamic performance and steady-state precision of the PMSM control system.

In terms of the chaotic signal needed by encryption, it is the more complicate the better. In addition, the frequency range of chaos should be wider than that of signal to be encrypted. However, chaotic spectrum usually is a narrow area in the low frequency region, and the complexity is not high enough. The signals encryption effects are affected. In order to solve this problem, this paper used the chaos transformed by unary polynomial to encrypt signals. Under the Matlab simulation environment, it is confirmed from time-domain and frequency-domain perspectives that the encryption effect of transformed chaos is better. Even the higher frequency signal can also be covered up completely. At the same time, the difficulty of decoding the encrypted signals is greatly increased, and the anti-attacking capability is strengthened.