期刊
ENERGIES
卷 15, 期 10, 页码 -出版社
MDPI
DOI: 10.3390/en15103757
关键词
intelligent pneumatic actuators; fuzzy FOPID; fuzzy PID; PSO algorithm
资金
- Ministry of Higher Education Malaysia (MOHE) [JPT (BPKI) 1000/016/018/25 (57)]
- Universiti Teknologi Malaysia (UTM) [4L930]
This research aims to reduce the overshoot in the response of a pneumatic actuator by using a fuzzy FOPID controller and PSO algorithm. A comparison study shows the superiority of this method in terms of dynamic performance.
A pneumatic cylinder system is believed to be extremely nonlinear and sensitive to nonlinearities, which makes it challenging to establish precise position control of the actuator. The current research is aimed at reducing the overshoot in the response of a double-acting pneumatic actuator, namely, the IPA positioning system's reaction time. The pneumatic system was modeled using an autoregressive with exogenous input (ARX) model structure, and the control strategy was implemented using a fuzzy fractional order proportional integral derivative (fuzzy FOPID) employing the particle swarm optimization (PSO) algorithm. This approach was used to determine the optimal controller parameters. A comparison study has been conducted to prove the advantages of utilizing a PSO fuzzy FOPID controller over PSO fuzzy PID. The controller tuning algorithm was validated and tested using a pneumatic actuator system in both simulation and real environments. From the standpoint of time-domain performance metrics, such as rising time (tr), settling time (ts), and overshoot (OS%), the PSO fuzzy FOPID controller outperforms the PSO Fuzzy PID controller in terms of dynamic performance.
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