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This paper presents a decentralized method to the problem of multiple unmanned aerial vehicles (UAVs) cooperative search of an unknown area. Firstly, based on search map model, the multiple UAVs cooperative search problem is posed as a receding horizon (RH) optimization decision problem, and a RH based UAV search decision process is proposed. Then, this centralized online optimization problem is partitioned...
RLV (reusable launch vehicle) ascent-trajectory optimization is a difficult problem due to the complexity of many physical constraints and optimization cost surfaces. In this paper, a heuristic technique based on a PSO (particle swarm optimization) algorithm is used. The highly constrained nonlinear trajectory planning problem is decomposed into control parameters search problems, The algorithm is...
This paper presents a comparative study of three popular, Evolutionary Algorithms (EA); Genetic Algorithms (GA), Particle Swarm Optimization (PSO) and Differential Evolution (DE) for optimal tuning of Proportional Integral (PI) speed controller in Permanent Magnet Synchronous Motor (PMSM) drives. A brief description of all the three algorithms and the definition of the problem are given.
An important problem in electrical engineering is to determine the optimal directional overcurrent relay times. The problem is modeled as a constrained nonlinear optimization problem in which the decision variables are the devices that control the act of isolation of faulty lines from the system without disturbing the healthy lines. Two models are considered namely IEEE-3 bus system and IEEE-4 bus...
Controlling a multi-mass system is a common problem in industrial automation, and cascaded PI controllers are a popular control structure for these systems. However, the parameters of a multi-mass system are often uncertain or can change. A robust Hinfin-control is a powerful tool in order to control systems with varying parameters. Unfortunately, the complex structure and the mathematical theory...
In this paper, a novel design approach based on time-response resemblance of the closed-loop system via particle swarm optimization is proposed to improve performance of the redesigned digital system for continuous-time uncertain interval systems. The design rationale of the proposed approach is to derive a digital controller for the redesigned digital system so that step response sequences corresponding...
Based on the analysis of the basic particle swarm optimization (PSO) algorithm, an improved particle swarm optimization (IPSO) algorithm was proposed to solve the problem with missile-target assignment in coordinated air combat (MTACAC). There were three improvements: 1. Adaptive adjustment of inertia weight; 2. Amelioration of particle velocity and position; 3. Better optimization strategy. Based...
This paper proposed a multimodal reserve capacity model in view of the characteristic of mixed traffic flow in road network, which fully considered particularity of public transport traffic flow, interaction of different vehicle classes and influence upon the network reserve capacity by each class. The proposed model was solved by a solution algorithm based on extremum disturbed and simplified Particle...
The computation of optimal control variables for a two-stage steel annealing process (SAP) which comprises of one or more furnaces is proposed in this paper. The heating and soaking furnaces of the steel annealing line form two-stage hybrid systems. Three algorithms including particle swarm optimization (PSO) with globally and locally tuned parameters (GLbest PSO), a parameter free PSO algorithm (pf-PSO),...
This paper presents a comparative optimization performance and transient performance studies among three evolutionary computational techniques as genetic algorithm (GA), hybrid particle swarm with constriction factor approach (HPSOCFA) and hybrid Taguchi particle swarm optimization (HTPSO) methods in automatic generation control. For comparative study of performances, the above-mentioned techniques...
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