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利用神经元的自学习功能及其控制灵敏度的快速近似求取方法，实现了神经元控制器的在线学习。以神经元控制器作为伺服系统的速度调节器，与三相滞环控制器构成了交流伺服控制系统。仿真和实验表明，神经元控制器具有较强的自适应性和较好的实时性。
By using the self-learning function of neuron and the fast approximation method of its control sensitivity, the online learning of neuron controller is realized. Neuron controller as a servo speed regulator, and three-phase hysteresis controller constitutes an AC servo control system. Simulation and experiment show that the neuron controller has stronger self-adaptability and better real-time performance.