FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W1916571855> ?p ?o ?g. }

• W1916571855 abstract "The aim of this work is to explore the potential and to enhance the capability of evolutionary computation in the development of novel and advanced methodologies that enable control system structural optimisation and design automation for practical applications.Current design and optimisation methods adopted in control systems engineering are in essence based upon conventional numerical techniques that require derivative information of performance indices. These techniques lack robustness in solving practical engineering problems, which are often of a multi-dimensional, multi-modal nature. Using those techniques can often achieve neither global nor structural optimisation. In contrast, evolutionary mechanism learning tools have the ability to search in a multi-dimensional, multi-modal space, but they can not approach a local optimum as a conventional calculus-based method. The first objective of this research is to develop a reliable and effective evolutionary algorithm for engineering applications.In this thesis, a globally optimal evolutionary methodology and environment for control system structuring and design automation is developed, which requires no design indices to be differentiable. This is based on the development of a hybridised GA search engine, whose local tuning is tremendously enhanced by the incorporation of Hill-Climbing (HC), Simulated Annealing (SA) and Simplex techniques to improve the performance in search and design. A Lamarckian inheritance technique is also developed to improve crossover and mutation operations in GAs. Benchmark tests have shown that the enhanced hybrid GA is accurate, and reliable.Based on this search engine and optimisation core, a linear and nonlinear control system design automation suite is developed in a Java based platform-independent format, which can be readily available for design and design collaboration over corporate Intranets and the Internet. Since it has also made cost function unnecessary to be differentiable, hybridised indices combining time and frequency domain measurement and accommodating practical constraints can now be incorporated in the design. Such type of novel indices are proposed in the thesis and incorporated in the design suite.The Proportional plus Integral plus Derivative (PID) controller is very popular in real world control applications. The development of new PID tuning rules remains an area of active research. Many researchers, such as Astrom and Hagglund, Ho, Zhuang and Atherton, have suggested many methods. However, their methods still suffer from poor load disturbance rejection, poor stability or shutting of the derivative control etc. In this thesis, Systematic and batch optimisation of PID controllers to meet practical requirements is achieved using the developed design automation suite. A novel cost function is designed to take disturbance rejection, stability in terms of gain and phase margins and other specifications into account in-the same time. Comparisons made with Ho's method confirm that the derivative action can play an important role to improve load disturbance rejection yet maintaining the same stability margins. Comparisons made with Astrom’s method confirm that the results from this thesis are superior not only in load disturbance rejection but also in terms of stability margins.Further robustness issues are addressed by extending the PID structure to a free form transfer function. This is realised by achieving design automation. Quantitative Feedback Theory (QFTX, method offers a direct frequency-domain design technique for uncertain plants, which can deal non-conservatively with different types of uncertainty models and specifications. QFT design problems are often multi-modal and multi-dimensional, where loop shaping is .the most challenging part. Global solutions can hardly be obtained using analytical and convex or linear programming techniques. In addition, these types of conventional methods often impose unrealistic or unpractical assumptions and often lead to very conservative designs. In this thesis, GA-based automatic loop shaping for QFT controllers suggested by the Research Group is being furthered. A new index is developed for the design which can describe stability, load rejection and reduction of high frequency gains, which has not been achieved with existing methods. The corresponding prefilter can also be systematically designed if tracking is one of the specifications. The results from the evolutionary computing based design automation suite show that the evolutionary technique is much better than numerical methods and manual designs, i.e., 'high frequency gain' and controller order have been significantly reduced. Time domain simulations show that the designed QFT controller combined with the corresponding prefilter performs more satisfactorily." @default.
• W1916571855 created "2016-06-24" @default.
• W1916571855 creator A5061127916 @default.
• W1916571855 date "2000-01-01" @default.
• W1916571855 modified "2023-09-26" @default.
• W1916571855 title "Evolutionary design automation for control systems with practical constraints" @default.
• W1916571855 hasPublicationYear "2000" @default.
• W1916571855 type Work @default.
• W1916571855 sameAs 1916571855 @default.
• W1916571855 citedByCount "1" @default.
• W1916571855 crossrefType "dissertation" @default.
• W1916571855 hasAuthorship W1916571855A5061127916 @default.
• W1916571855 hasConcept C104317684 @default.
• W1916571855 hasConcept C105902424 @default.
• W1916571855 hasConcept C110332635 @default.
• W1916571855 hasConcept C115901376 @default.
• W1916571855 hasConcept C119857082 @default.
• W1916571855 hasConcept C126255220 @default.
• W1916571855 hasConcept C126980161 @default.
• W1916571855 hasConcept C127413603 @default.
• W1916571855 hasConcept C13280743 @default.
• W1916571855 hasConcept C133731056 @default.
• W1916571855 hasConcept C154945302 @default.
• W1916571855 hasConcept C159149176 @default.
• W1916571855 hasConcept C185592680 @default.
• W1916571855 hasConcept C185798385 @default.
• W1916571855 hasConcept C201995342 @default.
• W1916571855 hasConcept C205649164 @default.
• W1916571855 hasConcept C205976826 @default.
• W1916571855 hasConcept C31352089 @default.
• W1916571855 hasConcept C33923547 @default.
• W1916571855 hasConcept C41008148 @default.
• W1916571855 hasConcept C55493867 @default.
• W1916571855 hasConcept C63479239 @default.
• W1916571855 hasConcept C78519656 @default.
• W1916571855 hasConceptScore W1916571855C104317684 @default.
• W1916571855 hasConceptScore W1916571855C105902424 @default.
• W1916571855 hasConceptScore W1916571855C110332635 @default.
• W1916571855 hasConceptScore W1916571855C115901376 @default.
• W1916571855 hasConceptScore W1916571855C119857082 @default.
• W1916571855 hasConceptScore W1916571855C126255220 @default.
• W1916571855 hasConceptScore W1916571855C126980161 @default.
• W1916571855 hasConceptScore W1916571855C127413603 @default.
• W1916571855 hasConceptScore W1916571855C13280743 @default.
• W1916571855 hasConceptScore W1916571855C133731056 @default.
• W1916571855 hasConceptScore W1916571855C154945302 @default.
• W1916571855 hasConceptScore W1916571855C159149176 @default.
• W1916571855 hasConceptScore W1916571855C185592680 @default.
• W1916571855 hasConceptScore W1916571855C185798385 @default.
• W1916571855 hasConceptScore W1916571855C201995342 @default.
• W1916571855 hasConceptScore W1916571855C205649164 @default.
• W1916571855 hasConceptScore W1916571855C205976826 @default.
• W1916571855 hasConceptScore W1916571855C31352089 @default.
• W1916571855 hasConceptScore W1916571855C33923547 @default.
• W1916571855 hasConceptScore W1916571855C41008148 @default.
• W1916571855 hasConceptScore W1916571855C55493867 @default.
• W1916571855 hasConceptScore W1916571855C63479239 @default.
• W1916571855 hasConceptScore W1916571855C78519656 @default.
• W1916571855 hasLocation W19165718551 @default.
• W1916571855 hasOpenAccess W1916571855 @default.
• W1916571855 hasPrimaryLocation W19165718551 @default.
• W1916571855 hasRelatedWork W1505886598 @default.
• W1916571855 hasRelatedWork W1608270055 @default.
• W1916571855 hasRelatedWork W2012099488 @default.
• W1916571855 hasRelatedWork W2112954355 @default.
• W1916571855 hasRelatedWork W2136120211 @default.
• W1916571855 hasRelatedWork W2136257387 @default.
• W1916571855 hasRelatedWork W2145884760 @default.
• W1916571855 hasRelatedWork W2228709925 @default.
• W1916571855 hasRelatedWork W2293416166 @default.
• W1916571855 hasRelatedWork W2494840935 @default.
• W1916571855 hasRelatedWork W2560400937 @default.
• W1916571855 hasRelatedWork W2602812261 @default.
• W1916571855 hasRelatedWork W2767211359 @default.
• W1916571855 hasRelatedWork W3005399623 @default.
• W1916571855 hasRelatedWork W420231219 @default.
• W1916571855 hasRelatedWork W580192649 @default.
• W1916571855 hasRelatedWork W591396149 @default.
• W1916571855 hasRelatedWork W1681413353 @default.
• W1916571855 hasRelatedWork W218608037 @default.
• W1916571855 hasRelatedWork W97393104 @default.
• W1916571855 isParatext "false" @default.
• W1916571855 isRetracted "false" @default.
• W1916571855 magId "1916571855" @default.
• W1916571855 workType "dissertation" @default.