Optimizing calculation of phase screen distribution with minimum condition along an inhomogeneous turbulent path

When building an experimental platform for light propagation along an inhomogeneous turbulent path,it is very essential to set up the reasonable distribution of phase screen.Based on multi-layered model of phase screen,an iterative optimization algorithm of phase screen position is given in this paper.Thereafter,the optimal position of phase screens is calculated under the Hufnagel-Valley5/7 and Hefei-day turbulence profile.The results show that the positions of phase screen calculated by the iterative algorithm can fit well with the turbulence profile rather than mechanically placed phase screens at equal distance.Compared with the uniform distribution of phase screens position,the residual phase error of the iterative algorithm decreases very significantly.The similarity degree between them is minimal when number of layers is equal to two.

Iterative Learning Controller Design for CNC Machine Tools

The repetitive processing and large quantity of single product represented by 3C products are urgently needed.However,for current processing operations,previous processing data have not been used in the optimization of control input.In order to utilize previous processing data to facilitate the next process and avoid adverse effects caused by repetitive disturbance and noise,the idea of iterative learning was introduced to improve the accuracy of machining.On the control level,since it is difficult to obtain high accuracy by traditional feedback control when faced with complex trajectories,an open⁃loop iterative learning controller and a position loop feedback controller were introduced,which worked fast with good convergence effects.Aiming at reducing the influence of accidental error,step type iterative learning was put forward.The iteration mechanism was stopped when the accuracy converged to the allowable range so as to reduce computational complexity,store the current iterative part of the control input,and make constant value compensation.However,in simulation and experiment,it was found that after superposition of the iterative learning controller,the phenomenon of partial divergence of the system tracking error occurred.Therefore,the speed and acceleration characteristics of input trajectories in time domain and frequency domain were analyzed.High⁃frequency noise was introduced in frequency domain,which was found to be the cause of the abovementioned phenomenon,and high⁃frequency components were filtered to solve the problem.To further improve the accuracy of convergence and avoid filtering effective high⁃frequency information in some area,a switchable filter based on the analysis of the frequency characteristics of input trajectory was proposed.Through SIMULINK simulation and dSPACE experimental verification,it was proved that the iterative learning controller of modifying controlled quantity and filter based iterative learning control method are effective.

Novel Link Adaptation Schemes for OFDM System

Orthogonal Frequency Division Multiplexing (OFDM) is the most promisingtechnique supporting the high data rate transmission. The combination of the link adaptation andOFDM can further increase the spectral efficiency. In this paper, we put forward two link adaptationschemes for OFDM system which have the advantages of both flexibility and practicability. Both ofthe two novel link adaptation schemes are based on the iterative mechanism to allocate the bit andpower to subcarriers according to their channel gains and noisy levels which are assumed to bealready known at the transmitter. The candidate modulation modes are determined freely before thelink adaptation schemes are performed. The distinction between the two novel link adaptation schemesis that in the novel scheme A, the modulation mode is upgraded to the neighboring higher-ordermode, while in the novel scheme B the modulation is upgraded to the genuine optimal mode. Therefore,the novel scheme A has the advantage of lower complexity and the novel scheme B has the advantageof higher spectral efficiency.