孤岛运行微电网中模糊PID下垂控制器设计

针对微电网孤岛运行时分布式电源(DG)所采用的传统电压/频率下垂控制方法的不足,提出了一种具有比例—积分—微分(PID)结构的改进下垂控制方法,并根据电压和频率的变化,使用模糊推理技术来优化相应参数;设计了一种自适应模糊PID下垂控制器,以进一步有效减小微电网孤岛运行时由于扰动所造成的电压/频率振荡。通过仿真计算验证了所提出的模糊PID下垂控制器设计的正确性和有效性。

用多元逻辑电路实现模糊自组织PID控制器

针对一类生产过程，本文提出了一种PID控制器参数的模糊推理自整定方案，并基于多元逻辑电路（DYL）得以硬件实现．仿真表明电路设计正确，控制效果明显优于Ziegler－NicholsPID控制器，且对系统参数变化有较好的自适应能力．

Control of a Two-wheeled Machine with Two-directions Handling Mechanism Using PID and PD-FLC Algorithms

This paper presents a novel five degrees of freedom (DOF) two-wheeled robotic machine (TWRM) that delivers solutions for both industrial and service robotic applications by enlarging the vehicle′s workspace and increasing its flexibility. Designing a two-wheeled robot with five degrees of freedom creates a high challenge for the control, therefore the modelling and design of such robot should be precise with a uniform distribution of mass over the robot and the actuators. By employing the Lagrangian modelling approach, the TWRM′s mathematical model is derived and simulated in Matlab/Simulink?. For stabilizing the system′s highly nonlinear model, two control approaches were developed and implemented: proportional-integral-derivative (PID) and fuzzy logic control (FLC) strategies. Considering multiple scenarios with different initial conditions, the proposed control strategies′ performance has been assessed.