This paper discusses the difficulties encountered and progresses made in the last 40 years in the area of optimization of hydrosystem management and operation. Hydrosystems considered include reservoirs, aqueducts and...
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This paper addresses the application of an autonomous guidance concept to the ascent flight of the reusable launch vehicle Hopper, and to the reentry mission of the space plane X-38. Presently, the guidance requiremen...
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This paper addresses the application of an autonomous guidance concept to the ascent flight of the reusable launch vehicle Hopper, and to the reentry mission of the space plane X-38. Presently, the guidance requirements with respect to autonomy, accuracy and mission flexibility have been increased steadily for RLV applications. nonlinear programming based guidance strategies have been proposed that offer the potential to meet these demands. The autonomous guidance is achieved by combining onboard flight path prediction and nonlinear programming methods (NLP) for flight optimization. Such guidance strategies hold promise for reduced pre-mission analyses for trajectory planning, and for improved adaptability to non-nominal mission conditions. Its applicability, autonomy and performance will be discussed showing numerical results obtained with a flight simulation environment.
Real-time outdoor navigation in highly dynamic environments is an crucial problem. The recent literature on real-time static SLAM don't scale up to dynamic outdoor environments. Most of these methods assume moving...
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In a deregulated electricity market transmission congestion occurs when there is insufficient transmission capacity to simultaneously accommodate all requests for transmission service within a region. One of the most ...
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ISBN:
(纸本)9781424452309
In a deregulated electricity market transmission congestion occurs when there is insufficient transmission capacity to simultaneously accommodate all requests for transmission service within a region. One of the most important tasks of Independent System Operator (ISO) is to manage congestion as it threatens system security and may cause rise in electricity price resulting in market inefficiency. In corrective action of congestion management schemes, it is crucial for ISO to select the most sensitive generators to reschedule their optimal real and reactive powers in congestion management. As the real and reactive power dispatches play a vital role to relieve the congestion at low congestion cost, in this paper, the reactive support of generators, in addition to the rescheduling of real power generation, has been, considered to manage congestion. The re-dispatch of transactions for congestion management in a pool model is formulated as a Non-Linear programming (NLP). The Fitness Distance Ratio Particle Swarm Optimization (FDRPSO) based Optimal Power Flow (OPF) is introduced for Congestion Management problem first time in this paper to solve the NLP. This paper has utilized the method of selection of generators from the most sensitive cluster/zone to re-dispatch the real and reactive powers simultaneously using two distribution factors, viz. Real and Reactive Power Transmission Congestion Distribution Factors (PTCDFs and QTCDFs). The proposed method has been tested on a practical 75-bus Indian System for single and multi line congestion cases. The results are compared with the Conventional Particle Swarm Optimization (CPSO), Real Coded Genetic Algorithm (RCGA) and Binary Coded Genetic Algorithm (BCGA) based OPFs.
The use of the criterion modeling for solving problems of optimal control of dynamic systems has been suggested in the article and the method of determining the matrix of similarity criteria of the control law has bee...
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Traffic congestion is a problem in large cities. It has many negative consequences for the economy, the environment and human health. Proper adjustment of the traffic light settings in urban environments is the main m...
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Due to inherent potential of General Regression Neural Network(GRNN) to approximate nonlinear functions, it can be implemented as a nonlinear state-feedback controller. In this paper the methodology of direct collocat...
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Motion capture data has been pivotal to the success of creating realistic animation for human characters. There are a number of public full-body motion databases available, but large and heterogeneous databases for ha...
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As a result of slow perturbations, the mathematical model of an actual system is difficult to be accurate. So when optimizing large-scale industrial process, the mathematical model and the actual system does not match...
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This paper present a new effective algorithm for the optimal realization of digital controller structures using the delta operator for sampled data systems subject to Finite-Word-Length (FWL) constraints. The problem ...
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