TUNING OF PID CONTROLLER USING PARTICLE SWARM OPTIMIZATION AND ZIEGLER NICHOLS(ZN) METHOD

    Proportional-Integral Derivative (PID) controllers have been widely used for speed and position control of various applications. Among the conventional PID tuning methods, the Ziegler–Nichols method is well known technique. For a wide range of practical processes, this tuning approach works quite well. However, sometimes it does not provide good tuning and tends to produce a big overshoot. Therefore, this method usually needs retuning before applied to control industrial processes. To enhance the capabilities of traditional PID parameter tuning techniques, several intelligent approaches have been suggested to improve the PID tuning, such as those using genetic algorithms (GA) and the particle swarm
optimization (PSO). With the advance of computational methods in the recent times, optimization algorithms are often proposed to tune the control parameters in order to find an optimal performance. This Matlab design is to develop a PID tuning method using PSO algorithm and compare with Ziegler–Nichols. The comparison between PSO-based PID (PSO-PID) and the ZN-PID
performance is presented in simulation video.

Reference Paper: Tuning of PID Controller Using Particle Swarm Optimization (PSO)
Author’s Name: Mahmud Iwan Solihin, Lee Fook Tack and Moey Leap Kean
Source: ICASEIT
Year:2011
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SIMULATION VIDEO DEMO-Comparison between PSO-PID vs ZN-PID                                      


SIMULATION VIDEO DEMO-Particle Swarm Optimization                                                                  

SIMULATION VIDEO DEMO-Ziegler–Nichols                                                               


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