SUST Repository

A Novel Optimal Control Algorithm

Show simple item record

dc.contributor.author Fadul, Saber Mohammed Elnour
dc.contributor.author Supervisor - Eisa Bashier Mohammed
dc.date.accessioned 2014-08-26T13:33:14Z
dc.date.available 2014-08-26T13:33:14Z
dc.date.issued 2008-09-01
dc.identifier.citation Fadul,Saber Mohammed Elnour.A Novel Optimal Control Algorithm/Saber Mohammed Elnour Fadul;Eisa Bashier Mohammed.-Khartoum :Sudan University Of Science And Technology,College of Engineering,2008.-53P:ill;28Cm.-M.Sc. en_US
dc.identifier.uri http://repository.sustech.edu/handle/123456789/6894
dc.description Thesis en_US
dc.description.abstract Optimal control theory is a mathematical tool used for addressing and solving dynamic optimization problems. With the development of computers and the current emphasis of optimal design and operation of large-scale systems, optimal control theory has become increasingly important. The mathematical complexity of the optimal control approach does not allow straightforward analytical solutions to optimal control problems. Thus, algorithms implemented on digital computers have to be used. The main concern of this thesis is to advance and improve the existing knowledge of a dynamic optimal control technique known as Dynamic Integrated System Optimization and Parameter Estimation (DISOPE), so as to make it implementable in the process industry and, on the other hand, as a novel linear and nonlinear optimal control algorithm. The main feature of the technique is that it has been designed so as to achieve the correct optimum solution of the process in spite of inaccuracies in the mathematical model employed in the computations. This method, based on Lagrangian and Hamiltonian is used for approximating some required derivative trajectories. For the development of the algorithm, emphasis is placed on making the techniques implementable in digital computer based industrial process control problems. Applications of DISOPE are proposed in the following areas: linear and nonlinear control system based on adaptive state-space linear dynamic models, and batch process optimization. The algorithm proposed for handling control and state dependent. This algorithm has been implemented using Matlab program with relevant example simulations and the result is final optimal control and state responses. en_US
dc.description.sponsorship Sudan University of Science &Technology en_US
dc.language.iso en en_US
dc.publisher Sudan University of Science &Technology en_US
dc.subject A Novel Optimal en_US
dc.subject Algorithm en_US
dc.title A Novel Optimal Control Algorithm en_US
dc.title.alternative خوارزمية مبتكرة للسيطرة المثلى en_US
dc.type Thesis en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Share

Search SUST


Browse

My Account