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Design of Speed Control System of DC motor Based on PID tuning with fuzzy define weighting point

机译:基于模糊赋权点PID整定的直流电机调速系统设计。

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considering the non-linear characteristics of the DC motors and the design challenges under the mechanical changes due to the ambient conditions. Moreover, precise control cannot be achieved using only classical PID control. This paper proposes a novel technique for optimizing the speed of the separately excited DC motor. This optimization process is accomplished by decreasing the rise time, settling time and overshoot characteristics. Fuzzy logic in cooperation with PID is used to implement an appropriate performance. As well known the conventional fuzzy has no integral part, and the weak point of the PID is the overshoot. This paper combines both the fuzzy logic and PID control using a weighting point in proportional action to achieve an enhanced controller. Moreover, acquire the advantages of both methods. Consequently, a balancing is attained between the overshoot and the rise time in the motor speed response. Matlab Simulink is used to model the DC motor then fuzzy define weighting point method applied to control the motor speed. The comprehensive simulation results show that the design has a faster response, no overshoot, better robustness, and dynamic and static performance. It outperforms the classical control techniques for attaining high precise control.
机译:考虑到DC电动机的非线性特性和由于环境条件而下的机械变化下的设计挑战。此外,仅使用经典PID控制无法实现精确的控制。本文提出了一种用于优化单独激发直流电动机速度的新技术。通过降低上升时间,稳定时间和过冲特性来实现这种优化过程。与PID合作的模糊逻辑用于实施适当的性能。众所周知,传统的模糊没有一个积分部分,并且PID的弱点是过冲。本文将模糊逻辑和PID控制两者组合使用比例动作的加权点来实现增强控制器。此外,获得两种方法的优点。因此,在电动机速度响应的过冲和上升时间之间实现了平衡。 MATLAB Simulink用于模拟DC电机,然后模糊定义应用于控制电机速度的加权点方法。综合仿真结果表明,该设计具有更快的响应,没有过冲,更好的鲁棒性和动态和静态性能。它优于验证高精度控制的经典控制技术。

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