Advanced Fireworks Algorithm and Its Application Research in PID Parameters Tuning
Advanced Fireworks Algorithm and Its Application Research in PID Parameters Tuning
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DOI：
10.1155/2016/2534632
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发表时间：
2016-06
影响因子：
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通讯作者：
Jun-Jie Xue;Ying Wang;Hao Li;Xiangfei Meng;Jiejie Xiao
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文献类型：
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作者：
Jun-Jie Xue;Ying Wang;Hao Li;Xiangfei Meng;Jiejie Xiao
比例-积分-导数（PID）控制器以其简单实用的特点成为应用最广泛的控制器之一。为了设计高质量的PID控制器，提出了一种基于自适应原理和双峰高斯函数的先进烟花（AFW）算法，通过参数整定对PID控制器进行优化。首先建立了优化性能的复合指标，然后提出了PID控制系统的极值优化方法。其次，建立了结合AFW的PID参数整定模型；最后，通过Ziegler-Nichols法、Enhanced Fireworks （EFW）算法和Particle Swarm Optimization （PSO）等5种典型传递函数的AFW和对比度调优方法进行仿真，获得最优参数。仿真结果表明，对于不同传递函数的PID控制问题，AFW是一种有效且易于实现的方法。
Proportional-Integral-Derivative (PID) controller is one of the most widely used controllers for its property of simplicity and practicability. In order to design high-quality performances PID controllers, an Advanced Fireworks (AFW) algorithm based on self-adaption principle and bimodal Gaussian function is proposed, which is built to optimize the PID controller by parameters tuning. Firstly, a compound index of optimization performance is formulated, and then the extremal optimization method of PID control system is proposed. Secondly, a PID parameters tuning model combined with AFW is built. At last, 5 typical transfer functions are simulated to obtain optimal parameters by AFW and contrast tuning method, such as Ziegler-Nichols method, Enhanced Fireworks (EFW) algorithm, and Particle Swarm Optimization (PSO). Simulation results show that AFW are effective and are easily implemented methods to solve PID control problems of different transfer functions.