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传统PID控制器通常难以满足多变量、非线性、强耦合的步进电机动态响应和精
确调速要求,结合传统PID控制和模糊控制及遗传算法(GA)整定PID参数的优点,设计基于
模糊遗传算法的实时自适应步进电动机PID控制器,充分发挥传统和智能控制策略各自的优
势。仿真结果表明,该实时自适应步进电动机PID控制器,具有很好的自适应能力和抗负载扰
动能力。在稳定性、动态速度响应诸方面均优于传统的PID控制器和模糊控制器,系统达到了
较高调速性能和控制精度。
-Traditional PI
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识获取的模糊控制系统的基础上改进的遗传算法和神经网络
-Knowledge Acquisition of Fuzzy Control System Based on Improved Genetic
Algorithm and Neural Networks
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A GENETIC-BASED FUZZY LOGIC POWER SYSTEM STABILIZER FOR
MULTIMACHINE POWER SYSTEMS
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Design of Genetic Algorithm Based Fuzzy
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A Genetic Fuzzy System (GFS) is basically a fuzzy system augmented by a learning process based on a Q3
genetic algorithm (GA). Fuzzy systems have demonstrated their ability to solve different kinds of problems in various application domains. Curren
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