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Frequency Domain Design Of Control Systems Based On Particle Swarm Optimization Algorithm And The Visualization Platform Research

Posted on:2014-09-17Degree:MasterType:Thesis
Country:ChinaCandidate:J J ShanFull Text:PDF
GTID:2268330401985838Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
The correction of the control system is an important part for the design of control system, and one of the commonly used approaches in engineering and technical profession is frequency domain. The steps of Classical frequency domain are simple and clear, which is effective for the simple designed devices. However, when the correction devices have more series, the operation process will become very complex. This is because designers should calculate the parameters of the correction device by following prescribed steps, which involves considerable amount of computation. In addition, the corrected system will be checked whether it is achieved the desired performance. If not, re-artificial parameters adjustment has to be performed.This paper briefly discusses the idea of control system frequency domain design, and the basic principle and flow of the particle swarm optimization algorithm and genetic algorithm. On one hand, the system of multi-level correction device are connected with to be corrected system in series, with frequency domain feature as the fitness function, therefore, the objective function can be composed of the mathematical model of optimization problems. On the other hand, considering the simple structure of particle swarm optimization algorithms and their problem of local optimal solution due to premature, particle swarm optimization (PSO) and genetic algorithm (GA) are combined. Adding the crossover and mutation operation of genetic algorithm in the particle swarm algorithm, which forms a hybrid particle swarm-genetic algorithm(PSO-GA). Simulation results show that it is simpler and more effective that using the method of frequency control system while compared with traditional correction method.Finally, computer language (VC++) is applied to complete the design of user interface visualization, making the correction process more intuitive and reducing the complexity of the system calibration.In addition, using hybrid programming of VC++and MATLAB through their interface allows the real-time simulation for control system in VC to directly call MATLAB, which improves the efficiency of frequency-domain design.
Keywords/Search Tags:frequency domain design, particle swarm optimization, genetic algorithm, visualization interface, hybrid programming
PDF Full Text Request
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