Particle Swarm Optimization for tuning a Fuzzy Supervisory Controller Parameters (Takagi Seguno and Mamdani Engines)
نویسندگان
چکیده
منابع مشابه
Fuzzy Particle Swarm Optimization Algorithm for a Supplier Clustering Problem
This paper presents a fuzzy decision-making approach to deal with a clustering supplier problem in a supply chain system. During recent years, determining suitable suppliers in the supply chain has become a key strategic consideration. However, the nature of these decisions is usually complex and unstructured. In general, many quantitative and qualitative factors, such as quality, price, and fl...
متن کاملA Robust STATCOM Controller using Particle Swarm Optimization
In this paper, a statcom without any energy storage devices is proposed to compensate network voltage during disturbances. This statcom utilizes a matrix converter in its topology which eliminates the DC-link capacitor of conventional statcom. The modulation method for matrix converter which is used in this paper is space vector modulation. There are some methods to improve power quality for se...
متن کاملParameter Tuning of Fuzzy Sliding Mode Controller Using Particle Swarm Optimization
In this paper, an auto-tuning fuzzy sliding-mode controller design approach using particle swarm optimization (PSO) is proposed. This approach provides a simple way of designing a fuzzy sliding controller for nonlinear systems. Moreover, for this method the heuristic sliding factors are not needed to be known. Therefore, the proposed method eliminates the trial-and-error process for finding the...
متن کاملfuzzy particle swarm optimization algorithm for a supplier clustering problem
this paper presents a fuzzy decision-making approach to deal with a clustering supplier problem in a supply chain system. during recent years, determining suitable suppliers in the supply chain has become a key strategic consideration. however, the nature of these decisions is usually complex and unstructured. in general, many quantitative and qualitative factors, such as quality, price, and fl...
متن کاملTurbulent Particle Swarm Optimization Using Fuzzy Parameter Tuning
Particle Swarm Optimization (PSO) algorithm is a stochastic search technique, which has exhibited good performance across a wide range of applications. However, very often for multi-modal problems involving high dimensions the algorithm tends to suffer from premature convergence. Premature convergence could make the PSO algorithm very difficult to arrive at the global optimum or even a local op...
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: Algerian Journal of Signals and Systems
سال: 2020
ISSN: 2676-1548,2543-3792
DOI: 10.51485/ajss.v5i2.102