Sažetak In this paper, a proportional integral (PI) controller that optimized with the modified
different evolutional (DE) algorithm is proposed for speed control of brushless direct-current …

Aiming at the problems of the poor adaptive ability in the current control methods for
brushless DC motor, an adaptive fuzzy proportional integral derivative controller (AFPID) is …

In this article, a genetic algorithm–based proportional integral differential–type fuzzy logic
controller for speed control of brushless direct current motors is presented to improve the …

为了提高无刷直流电机(BLDCM) 的工作稳定性, 设计了一种基于Q 学习算法优化的BP
神经网络控制器(QBP-PID). QBP-PID 利用BP 神经网络(BPNN) 对PID 增益进行调节 …

This paper presents a kind of intelligence control algorithm for the mine hoist control system.
Firstly, the desired output of the system is described by a speed curve of hoisting process …

In order to improve the working stability of brushless direct current motors (BLDCM), a
diagonal recursive neural network (DRNN) control strategy based on Q-learning algorithm is …

In this paper, it is proposed to use a Brushless DC (BLDC) Motor of five phases as the
propulsion motor for an Underwater Electrical Vehicle, which will have the advantages of …

Sažetak Ultra-high precision mechatronics positioning systems are critical devices in current
precision engineering and micro-and nano-systems' technologies, as they allow …

Reinforcement learning (RL) is an extensively applied control method for the purpose of
designing intelligent control systems to achieve high accuracy as well as better …

The brushless DC motor's commutation torque ripple is caused by inconsistency in the rate
of phase current change. Thus, a method that considers armature resistance is proposed to …