文档介绍：非线性门式起重机系统通过基于优先级计划中的二进制PSO算法优化性能
摘要
本文提出了一种最佳的PID和PD控制器的开发控制非线性龙门起重机系统。建议的二进制优化(PSO)算法,采用基于优先级的健身计划中采用了获得最优控制涨幅。最佳的收益在控制结构,结合PID和PD控制器来检查系统反应,包括小车位移和载荷振荡测试。龙门起重机系统的动力学模型,利用拉格朗日方程推导。仿真内Matlab的环境下进行的,以验证在沉降时间(Ts),稳态误差(SSE)和过冲(作者)方面的系统的性能。此提出的技术表明,在BPSO实施基于优先级的健身计划是有效的,能够移动的台车尽可能快地向各种所需位置。
简介
人力资源的限制,使门机系统总是需要处理重负载的系统。它的目的是促进重的负载,精确的位置交换。然而,在起重机加速度所需的运动,并诱导不希望的负载摆动[1]。如果小车的速度增加时,有效载荷的振荡变大,并使有效载荷难以稳定下来。因此,位置控制是困难的,需要一个相对长的时间卸货。为了达到所述门式起重机的位置精度,都要求考虑有效载荷的手推车和振荡的定位的控制机构。
您是不是要找: Several control techniques have been proposed previously for controlling the gantry crane , PID control schemes based on the classical control theory have been widely used for various industrial control systems for a long time [2]. PID controller is seen as a good prospect due to simple structure and robust performances in a wide range of operating conditions. Thus, PID controller is chosen and used for this work. However, it has some difficulties in tuning the PID parameters. Therefore, various investigations on intelligent techniques have been conducted to optimize PID parameters. For instance, ic Algorithm (GA), Artificial Bee Colony (ABC) algorithm, Ant Colony Algorithm (ACA) and many more was proposed to optimize the parameter of the controller in designing of a nonlinear system. It has flexible and adaptive characteristic in order to find the PID parameters. Nevertheless, since Bin