采用PSO和TRSBF函数对FOPID控制器进行优化

Rohit Gupta, S. Gairola
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引用次数: 4

摘要

提出了一种分数阶工业过程的PID控制器整定技术,并提出了粒子群优化(PSO)所需的基于时间响应规范的适应度(TRSBF)函数用于控制器整定。结果与传统的基于积分时间绝对误差(ITAE)的控制器和解析控制器进行了比较。在时域和频域分析了适应度函数的性能和鲁棒性,以确定所提出适应度函数的适用性。利用MATLAB/Simulink对基于粒子群算法的调谐算法进行了验证,并对峰值超调量、稳定时间、抗扰时间、频域稳定性等参数进行了比较。
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FOPID controller optimization employing PSO and TRSBF function
This paper presents a technique of PID controller tuning for fractional order industrial process and proposes a Time-Response Specification Based Fitness (TRSBF) function required by Particle Swarm Optimization (PSO) for the controller tuning. The results are compared with the conventional Integral Time Absolute Error (ITAE) based and analytic controllers. The performance and robustness is analyzed in time-domain and frequency-domain to establish the suitability of proposed fitness function. MATLAB/Simulink has been employed for PSO based tuning algorithm validation and comparison of parameters like peak overshoot, settling time, disturbance rejection time, stability in frequency domain, etc.
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