科研之友
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摘要
The present research studied the efficiency of two approaches for controlling the temperature of a tumor mass in the presence of Nanoparticles and laser wave beams. In other words, the presented control strategy adjusts the power of laser waves during a period of time in such a way that the temperature in the tumor center reaches with an acceptable desired temperature transient condition. The controlling input is the difference between the real temperature of the tumor and its desired temperature, while the controlling output is determined as the amount of laser radiated. The simulation studies were carried out using an appropriate physiological model in the presence of Nanoparticles. First, Shrudinger equations were solved followed by effective mass equation, and then the optimal amount for the Nanoparticles was calculated for utilization in the IR field. Next, vital optic and electronic features were calculated for the structure chosen, for example the absorption continuum and dispatch. Then, the appropriate ranges of laser power needed to achieve the desired tumor temperature were determined by a set of simulation studies featuring heating tumor equations. In this stage, the adjustment of laser power was performed by a trial and error model. After achieving the appropriate radiation features, the efficiency of these two control strategies was investigated. In this paper, a PID controller was utilized whose parameters were adjusted based on ICA (the Imperialism Competitive Algorithm). Then, the efficiency of this ICA design-based PID controller was compared to an intelligent controller based on a neural network. The results show that the adjustment of controller parameters by both of these proposed approaches has an acceptable efficiency when adjusting radiated laser power and controlling the temperature of the tumor center. The PID controller, however, produces better results in the transient response.
- 出版日期2015-3
