دانلود مقاله ISI انگلیسی شماره 55631
ترجمه فارسی عنوان مقاله

طراحی کنترل کننده PID سیستم های غیر خطی با استفاده از روش بهینه سازی ازدحام ذرات ارتقا یافته

عنوان انگلیسی
PID controller design of nonlinear systems using an improved particle swarm optimization approach
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
55631 2010 8 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Communications in Nonlinear Science and Numerical Simulation, Volume 15, Issue 11, November 2010, Pages 3632–3639

ترجمه کلمات کلیدی
کنترل کننده PID؛ بهینه سازی ازدحام ذرات بهبود یافته ؛ سیستمهای غیر خطی؛ کنترل پاندول معکوس
کلمات کلیدی انگلیسی
PID controller; Improved particle swarm optimization; Nonlinear systems; Inverted pendulum control
پیش نمایش مقاله
پیش نمایش مقاله  طراحی کنترل کننده PID سیستم های غیر خطی با استفاده از روش بهینه سازی ازدحام ذرات ارتقا یافته

چکیده انگلیسی

In this paper, an improved particle swarm optimization is presented to search for the optimal PID controller gains for a class of nonlinear systems. The proposed algorithm is to modify the velocity formula of the general PSO systems in order for improving the searching efficiency. In the improved PSO-based nonlinear PID control system design, three PID control gains, i.e., the proportional gain KpKp, integral gain KiKi, and derivative gain KdKd are required to form a parameter vector which is called a particle. It is the basic component of PSO systems and many such particles further constitute a population. To derive the optimal PID gains for nonlinear systems, two principle equations, the modified velocity updating and position updating equations, are employed to move the positions of all particles in the population. In the meanwhile, an objective function defined for PID controller optimization problems may be minimized. To validate the control performance of the proposed method, a typical nonlinear system control, the inverted pendulum tracking control, is illustrated. The results testify that the improved PSO algorithm can perform well in the nonlinear PID control system design.