The performance of the controller for interior permanent magnet synchronous motor based on artificial neural network is superior to the traditional control method, but it has the problems of large amount of computation and long training time. Aiming at it, an intelligent drive control of interior permanent magnet synchronous motor based on a single artificial neuron algorithm was presented. At first, the mathematical model of the motor and the principles of the current torque control law had been described. Then, the driving controller for the motor based on single artificial neuron had been designed, and the computation and training time had been reduced due to the use of the single neuron and set the iterative boundary. Finally, a small power motor drive test platform was built, and the performance of the new controller was verified by comparing with the traditional PID control.