Design of Optimal Fractional-Order PID Controllers Using Particle Swarm Optimization Algorithm for Automatic Voltage Regulator (AVR) System
Design of Optimal Fractional-Order PID Controllers Using Particle Swarm Optimization Algorithm for Automatic Voltage Regulator (AVR) System
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DOI：
10.1007/s40313-013-0057-7
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发表时间：
2013-07
期刊：
影响因子：
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通讯作者：
Hadiseh Ramezanian;S. Balochian;A. Zare
中科院分区：
文献类型：
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作者：
Hadiseh Ramezanian;S. Balochian;A. Zare
在实际应用中，由于阶跃输入的控制信号中产生的“导数反冲”以及不期望的噪声放大，从不使用纯导数作用。它通常由一阶低通滤波器代替。在本文中，我们使用a阶分数低通滤波器，并定义了一个实用的分数阶控制器。新定义的适应度函数的方法具有非常容易实现和最大的控制性能。提出了一种基于粒子群优化算法的自动电压调节器分数阶PID控制器参数整定方法。粒子群优化算法是一种基于群体运动和智能的鲁棒随机优化技术，将社会交互的概念应用于问题求解。通过与其它方法的比较，说明了该方法的效果和有效性.仿真结果表明，所设计的PSO-FOPID控制器对参考输入具有良好的控制性能，并能提高系统对模型不确定性的鲁棒性。
In practical applications, the pure derivative action is never used, due to the “derivative kick” produced in the control signal for a step input, and to the undesirable noise amplification. It is usually replaced by a first-order low-pass filter. In this paper, we use a-order fractional low-pass filter and define a practical fractional-order controller. The proposed approach with new defined fitness function has very easy implementation and the most control performance. We present a method for optimum tuning of practical fractional PID controllers for automatic voltage regulator system using particle swarm optimization (PSO) algorithm. PSO is a robust stochastic optimization technique based on the movement and intelligence of swarm, applies the concept of social interaction to problem solving. From the comparison this technique with the other methods, its influence and efficiency are illustrated. Simulations and comparisons with other FOPID/PID controllers illustrate that the proposed PSO-FOPID controller can provide good control performance with respect to reference input and also improve the system robustness with respect to model uncertainties.