Controller Parameter Optimization for Nonlinear Systems Using Enhanced Bacteria Foraging Algorithm
نویسندگان
چکیده
منابع مشابه
Power Quality Improvements in Wind Diesel Hybrid Systems Using Bacteria Foraging Optimization Technique for Controller Parameter Optimization
The wind energy conversion systems when operate in weak grid or in isolated mode may cause power quality problems due to variation in wind speed and other circuit conditions. To improve the power quality of wind generation system a wind-diesel hybrid system is proposed in this paper. The power quality of the system is improved by controlling the excitation and input power of the synchronous gen...
متن کاملOptimal Pid Tuning by Using Bacteria Foraging Optimization Algorithm
Recently, many algorithms used to make tuning for PID controller parameters for different applications. PID Controller gives us control of both transient and steady state response, and decreases the characteristics elements such as overshoot, steady state error, settling time, and rising time, and makes the system stable and robust. But the problem is how to choose the PID parameters to achieve...
متن کاملDesign of an Adaptive Controller for Magnetic Levitation System Based Bacteria Foraging Optimization Algorithm
ii iii DEDICATION I dedicate this thesis to my father and my mother in recognition of their endless help; support and encouragement also dedicate this work to my beloved wife, I will not forget my brothers and sisters.
متن کاملMR Brain Image Segmentation using Bacteria Foraging Optimization Algorithm
-The most important task in digital image processing is image segmentation. This paper put forward an unique image segmentation algorithm that make use of a Markov Random Field (MRF) hybrid with biologically inspired technique Bacteria Foraging Optimization Algorithm (BFOA) for Brain Magnetic Resonance Images The proposed new algorithm works on the image pixel data and a region/neighborhood map...
متن کاملBacteria Foraging Optimization Algorithm based SVC damping controller design for power system stability enhancement
This paper proposes Bacteria Foraging Optimization Algorithm (BFOA) based Static Var Compensator (SVC) for the suppression of oscillations in a multimachine power system. The proposed design problem of SVC over a wide range of loading conditions is formulated as an optimization problem. BFOA is employed to search for optimal controller parameters by minimizing the time domain objective function...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Applied Computational Intelligence and Soft Computing
سال: 2012
ISSN: 1687-9724,1687-9732
DOI: 10.1155/2012/214264