{"title":"分数阶算子在delta域直接离散化的一种新方法","authors":"Kumar Dolai, A. Mondal, P. Sarkar","doi":"10.2298/fuee2203313d","DOIUrl":null,"url":null,"abstract":"The fractional order system (FOS) comprises fractional order operator. In\n order to obtain the discretized version of the fractional order system, the\n first step is to discretize the fractional order operator, commonly\n expressed as s?m, 0 < m < 1. The fractional order operator can be used as\n fractional order differentiator or integrator, depending upon the values of\n . In general, there are two approaches for discretization of fractional\n order operator, one is indirect method of discretization and another is\n direct method of discretization. The direct discretization method\n capitalizes the method of formation of generating function where fractional\n order operator s?m is expressed as a function of Z in the shift operator\n parameterization and continued fraction expansion (CFE) method is then\n utilized to get the corresponding discrete domain rational transfer\n function. There is an inherent problem with this discretization method using\n shift operator parameterization (discrete Z-domain). At fast sampling time,\n the discretized version of the continuous time operator or system should\n resemble that of the continuous time counterpart if the sampling theorem is\n satisfied. At very high sampling rate, the shift operator parameterized\n system fails to provide meaningful information due to its numerical ill\n conditioning. To overcome this problem, Delta operator parameterization for\n discretization is considered in this paper, where at fast sampling rate, the\n continuous time results can be obtained from the discrete time experiments\n and therefore a unified framework can be developed to get the discrete time\n results and continuous time results hand to hand. In this paper a new\n generating function is proposed to discretize the fractional order operator\n using the Gauss-Legendre 2-point quadrature rule. Additionally, the function\n has been expanded using the CFE in order to obtain rational approximation of\n the fractional order operator. The detailed mathematical formulations along\n with the simulation results in MATLAB, with different fractional order\n systems are considered, in order to prove the newness of this formulation\n for discretization of the FOS in complex Delta domain.","PeriodicalId":44296,"journal":{"name":"Facta Universitatis-Series Electronics and Energetics","volume":"107 1","pages":""},"PeriodicalIF":0.6000,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A new approach for direct discretization of fractional order operator in delta domain\",\"authors\":\"Kumar Dolai, A. Mondal, P. Sarkar\",\"doi\":\"10.2298/fuee2203313d\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The fractional order system (FOS) comprises fractional order operator. In\\n order to obtain the discretized version of the fractional order system, the\\n first step is to discretize the fractional order operator, commonly\\n expressed as s?m, 0 < m < 1. The fractional order operator can be used as\\n fractional order differentiator or integrator, depending upon the values of\\n . In general, there are two approaches for discretization of fractional\\n order operator, one is indirect method of discretization and another is\\n direct method of discretization. The direct discretization method\\n capitalizes the method of formation of generating function where fractional\\n order operator s?m is expressed as a function of Z in the shift operator\\n parameterization and continued fraction expansion (CFE) method is then\\n utilized to get the corresponding discrete domain rational transfer\\n function. There is an inherent problem with this discretization method using\\n shift operator parameterization (discrete Z-domain). At fast sampling time,\\n the discretized version of the continuous time operator or system should\\n resemble that of the continuous time counterpart if the sampling theorem is\\n satisfied. At very high sampling rate, the shift operator parameterized\\n system fails to provide meaningful information due to its numerical ill\\n conditioning. To overcome this problem, Delta operator parameterization for\\n discretization is considered in this paper, where at fast sampling rate, the\\n continuous time results can be obtained from the discrete time experiments\\n and therefore a unified framework can be developed to get the discrete time\\n results and continuous time results hand to hand. In this paper a new\\n generating function is proposed to discretize the fractional order operator\\n using the Gauss-Legendre 2-point quadrature rule. Additionally, the function\\n has been expanded using the CFE in order to obtain rational approximation of\\n the fractional order operator. 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引用次数: 3
摘要
分数阶系统由分数阶算子组成。为了得到分数阶系统的离散化版本,第一步是将分数阶算子离散化,通常表示为s?M, 0 < M < 1。分数阶运算符可以用作分数阶微分或积分器,取决于的值。一般来说,分数阶算子的离散化有两种方法,一种是间接离散化方法,另一种是直接离散化方法。直接离散化方法利用了生成函数的方法,其中分数阶算子s?将m在移位算子参数化中表示为Z的函数,然后利用连分式展开(CFE)方法得到相应的离散域有理传递函数。这种使用移位算子参数化(离散z域)的离散化方法存在一个固有的问题。在快速采样时间下,如果满足采样定理,连续时间算子或系统的离散化版本应该与连续时间算子或系统的离散化版本相似。在非常高的采样率下,移位算子参数化系统由于其数值病态而不能提供有意义的信息。为了克服这一问题,本文考虑了离散化的Delta算子参数化,在快速采样速率下,可以从离散时间实验中得到连续时间结果,从而建立一个统一的框架,将离散时间结果和连续时间结果并行得到。本文利用高斯-勒让德两点积分规则,提出了一种新的离散分数阶算子的生成函数。此外,为了得到分数阶算子的有理逼近,利用CFE对函数进行了扩展。通过对不同分数阶系统的详细数学公式和MATLAB仿真结果的分析,证明了该公式在复Delta域离散化FOS的新颖性。
A new approach for direct discretization of fractional order operator in delta domain
The fractional order system (FOS) comprises fractional order operator. In
order to obtain the discretized version of the fractional order system, the
first step is to discretize the fractional order operator, commonly
expressed as s?m, 0 < m < 1. The fractional order operator can be used as
fractional order differentiator or integrator, depending upon the values of
. In general, there are two approaches for discretization of fractional
order operator, one is indirect method of discretization and another is
direct method of discretization. The direct discretization method
capitalizes the method of formation of generating function where fractional
order operator s?m is expressed as a function of Z in the shift operator
parameterization and continued fraction expansion (CFE) method is then
utilized to get the corresponding discrete domain rational transfer
function. There is an inherent problem with this discretization method using
shift operator parameterization (discrete Z-domain). At fast sampling time,
the discretized version of the continuous time operator or system should
resemble that of the continuous time counterpart if the sampling theorem is
satisfied. At very high sampling rate, the shift operator parameterized
system fails to provide meaningful information due to its numerical ill
conditioning. To overcome this problem, Delta operator parameterization for
discretization is considered in this paper, where at fast sampling rate, the
continuous time results can be obtained from the discrete time experiments
and therefore a unified framework can be developed to get the discrete time
results and continuous time results hand to hand. In this paper a new
generating function is proposed to discretize the fractional order operator
using the Gauss-Legendre 2-point quadrature rule. Additionally, the function
has been expanded using the CFE in order to obtain rational approximation of
the fractional order operator. The detailed mathematical formulations along
with the simulation results in MATLAB, with different fractional order
systems are considered, in order to prove the newness of this formulation
for discretization of the FOS in complex Delta domain.