Design and parameters optimization of the fractional order anti-windup controller for multileaf collimator

被引:0
|
作者
Zhang X. [1 ]
Li J. [1 ]
Dang J. [1 ]
Liu Z. [2 ]
Min Y. [3 ]
机构
[1] School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou
[2] Gansu Provincial Cancer Hospital, Lanzhou
[3] 317A Carnegie Library, Mathematic Department, Syracuse University, Syracuse, 13244, NY
来源
Zhang, Xin (zhangx@mail.lzjtu.cn) | 1600年 / Eastern Macedonia and Thrace Institute of Technology卷 / 10期
关键词
Fractional order anti-windup; Multileaf collimator; Parameter optimization; Particle swarm optimization; Radiation therapy;
D O I
10.25103/jestr.102.04
中图分类号
学科分类号
摘要
During the conformal radiotherapy, the multileaf collimator is usually used to block radiation to avoid the radiation in the normal tissue around the tumor for precise irradiation in target areas. However, there are several shortcomings in the ability of rapidity and anti-interference of precise leaf control in terms of the traditional controllers of leaf position for multileaf collimator. To ensure the rapidity of leaf position in place for short treatment time, a design method of controller of leaf position for multileaf collimator has been proposed, which can keep the leaves in place with short time as well as high accuracy. First, the motor that drives the leaf movement of multileaf collimator was taken as the controlled object, and the corresponding motor model was established. Second, the design method of the fractional order anti-windup controller of leaf position was proposed according to the controlled object. Finally, using quantum-behaved particle swarm optimization (QPSO) to ensure the accuracy of leaf position for multileaf collimator in place, the parameters of the controller of leaf position for multileaf collimator were optimized. The simulation results show that the rising and settling time of the output response of the leaf drive unit is 1.31s in the controller of leaf position for multileaf collimator using the proposed design method, which is better than the 6.4s in the proportional integral differential (PID) algorithm based on the particle swarm optimization (PSO) and the 12.55s in the fuzzy PID algorithm respectively. While the parameter tuning of the controller of leaf position for multileaf collimator is performed by the QPSO algorithm, the required iteration number is less. In addition, after adding the interference, the proposed controller can make the system recover to the much more stable operation state with a stronger ability of anti-interference. The proposed method provides great reference value for the research on the precise leaf position of multileaf collimator and the cooperation control strategy in the later stage. © 2017. Eastern Macedonia and Thrace Institute of Technology.
引用
收藏
页码:35 / 41
页数:6
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