From System Identification to Path Planning Using Fractional Approach: a Thermal Application Example
نویسندگان
چکیده
This paper presents a global fractional approach from system identification to path planning; these results will be applied to a typical fractional application: a thermal diffusion in an aluminium rod. The objective is to follow a desired path using fractional linear flatness. However, models of true systems are not always known. Through a black box identification using a fractional model, the temperature versus the heat flux of an aluminium rod is modeled. The coosrivcf algorithm enables to optimize as well the parameter coefficients and the commensurate order. The fractional flat output generates the input command so that the system follows that desired path.
منابع مشابه
Non-linear Fractional-Order Chaotic Systems Identification with Approximated Fractional-Order Derivative based on a Hybrid Particle Swarm Optimization-Genetic Algorithm Method
Although many mathematicians have searched on the fractional calculus since many years ago, but its application in engineering, especially in modeling and control, does not have many antecedents. Since there are much freedom in choosing the order of differentiator and integrator in fractional calculus, it is possible to model the physical systems accurately. This paper deals with time-domain id...
متن کاملFlatness for linear fractional systems with application to a thermal system
This paper is devoted to the study of the flatness property of linear time-invariant differential systems of fractional systems. We give two characterizations of fractionally flat outputs and algorithms to compute them. We then present an application to a two dimensional thermal system that we approximate by a fractional model of order 1 2 , that is fractionally flat. Trajectory planning of the...
متن کاملApplication of Path Analysis in identification of dominant effective meteorological parameters on ET0 in West Azarbaijan
Reference evapotranspiration (ET0) is a climatic parameter and can be computed from weather data. It is one of the most important hydrological parameters for calculating crop water demand, scheduling irrigation systems, preparing input data to hydrological water-balance models, regional water resources assessment, and planning and management for a region and/or a basin. The climatic data from s...
متن کاملIntegrated Environmental Analysis using GIS for Rational Planning of Conservatory Management of Slopes Application in the Ouergha Basin (Morocco)
The objective of this work is the realization of a map spatialising proposals of management and planning of lands, with a view to their rational management within the framework of a sustainable development. It was based on a diagnosis of the natural environment that allowed the analysis and identification of constraints to the development of the watershed of Ouergha (North of MOROCCO). The meth...
متن کاملIdentification of Wind Turbine using Fractional Order Dynamic Neural Network and Optimization Algorithm
In this paper, an efficient technique is presented to identify a 2500 KW wind turbine operating in Kahak wind farm, Qazvin province, Iran. This complicated system dealing with wind behavior is identified by using a proposed fractional order dynamic neural network (FODNN) optimized with evolutionary computation. In the proposed method, some parameters of FODNN are unknown during the process of i...
متن کامل