For the complex multi-variable system of permanent magnet synchronous motors, an improved Bat Algorithm (IBA) is proposed to optimize fuzzy control rules in order to enhance system stability and improve dynamic response. The neighborhood search operator is designed based on the interrelationship of fuzzy control rules, and ITAE is employed as a performance metric to evaluate the fuzzy Proportional-Integral control system. A model for PMSM is established, and a simulation environment is built in MATLAB/Simulink based on the mathematical model. The fuzzy-controlled PI controller is compared with the traditional PI controller in terms of motor speed results. The results indicate that the fuzzy PI controller exhibits smaller overshoot, better stability, and dynamic response compared to the traditional PI controller. The algorithm proposed in this study shows promising prospects for application in engineering control.
KEYWORDS: Neural networks, Computer simulations, Visualization, Visual process modeling, Data modeling, Neurons, Genetic algorithms, Evolutionary algorithms, Computing systems, Microsoft Foundation Class Library
In the airport fire truck driving training simulator, aiming at the prediction of fire extinguishing agent trajectory of airport fire truck, a fire fighting operation visual simulation model is proposed. Firstly, the real-time simulation model of airport fire truck fire pump system based on neural network is established. After simplified design, the real-time performance of the system is guaranteed. Secondly, particle system and texture mapping technology are used to simulate fire extinguishing agent. Finally, the MFC application is used to establish the view simulation model of the airport fire truck driving training simulator by combining the fire fighting operation of the fire truck, and the data refreshing of the fire pump under different speed is realized through the human-computer interaction interface. Experimental simulation shows that the model has the characteristics of strong real-time and high fidelity, and meets the requirements of airport fire truck driving training simulator.
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