Cheng Siyuan

Research on PID Control Parameters Tuning Based on Election-Survey Optimization Algorithm

According to the tuning rule of PID control parameters, IAE, ISE, ITAE, ITSE performance criteria are chosen to be optimization object, a new optimization method of PID control parameters tuning based on Election-survey Optimization Algorithm is presented, and is applied to design optimally a PID control, and the simulation results show that satisfactory performances are obtained by means of this method developed.

Tuning digital PID controllers for discrete-time system by Election Campaign Optimization algorithm

In this paper, Election Campaign Optimization algorithm is applied to solve the difficulty in PID control that the tuning parameters of PID controllers could not be determined well by conventional methods. Tuning PID controller parameters is a typical three variable optimization problem without constraint condition. An example is employed to test this method, It is found that the method could be find the best parameters that can bring on a optimal control performance, the simulation results is better than that in involved reference. This indicates that the tuning method is feasible.

Election Campaign Optimization Algorithm for Multi-peak Optimization Problems

Multi-peak Optimization problems are solved by Election Campaign Optimization algorithm. 3 Multi-peak Optimization problems are selected as examples to verify this algorithm. It is found that Election Campaign Optimization algorithm can jump out of local peaks easily and search out the all global optimal solution of Multi-peak Optimization problems simultaneously. It means that Election Campaign Optimization algorithm is a high efficient optimization algorithm for Multi-peak Optimization problems.

Research on physical shape preserving curve reconstruction

Fusion of various data is an effective way to improve the precision and efficiency of acquiring information in reverse engineering. A method of physical shape preserving curve reconstruction is proposed to better realize the data fusion of coordinate measuring machine (CMM) and visual information. From the principle of materials mechanics, the strain energy of the curve corresponding to the distortion is advanced as the internal energy, and the elastic potential energy of the curve is established, using a few precise measured data points as the equilibrium position, to be the external energy. On the basis of the principle of variation calculus, the basic spline finite element method (B-spline FEM) is used to determine the equilibrium position of curve deformation. Numerical simulation indicates that there is an extremely good agreement between the new fitted curve and the actual curve.