CIVILICA We Respect the Science
(ناشر تخصصی کنفرانسهای کشور / شماره مجوز انتشارات از وزارت فرهنگ و ارشاد اسلامی: ۸۹۷۱)

An improved PID neural network controller for long time delay systems using particle swarm optimization algorithm

عنوان مقاله: An improved PID neural network controller for long time delay systems using particle swarm optimization algorithm
شناسه ملی مقاله: SASTECH05_235
منتشر شده در پنجمین کنفرانس بین المللی پیشرفت های علوم و تکنولوژی در سال 1390
مشخصات نویسندگان مقاله:

A Lari - Faculty of Electrical and Computer Engineering, Noushirvani University
A Khosravi
A Alfi - Faculty of Electrical and Robotic Engineering, Shahrood University of Technology, Shahrood ۳۶۱۹۹-۹۵۱۶۱, Iran.

خلاصه مقاله:
Conventional PID controller is the most popular controller in various field of industry. In spite of strong ability, this controller cannot be usually used for long time delay systems. There is a kind of neural networks called PID neural network (PIDNN) that utilizes the advantages of both PID controller and neural network simultaneously. PIDNN’s weights were in first adjusted by back propagation (BP) algorithm. BP algorithm ensures the final convergence, but the critical drawback is that the study training costs a long time. The convergence into local extremum is also possible. Hence, another method must be opted to optimize the network’s weight. This paper proposes a novel PIDNN without saturate surface namely PIDNN-PSO which its weights are adjusted using particle swarm optimization (PSO). PSO algorithm is an evolutionary optimization algorithm that due to the ease of implementation and fast convergence speed has been widely applied in many areas. The proposed controller is utilized as a controller for long time delay systems. The performance of the proposed controller is compared with the controller is designed by PIDNN-BP algorithm. Simulation results demonstrate the effectiveness of the proposed algorithm.

کلمات کلیدی:
PID controller, PSO, BP algorithm, PIDNN

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/157527/