Research Article
Improved Grey Particle Swarm Optimization and New Luus-Jaakola Hybrid Algorithm Optimized IMC-PID Controller for Diverse Wing Vibration Systems
Table 6
Comparison of the control performance obtained by GA, PSO, NPSO, GPSO, DE–NLJ, GADE and GNPSO for linear wing vibration system.
| Algorithms | | | | | | | | | |
| GA | 547.4927 | 6.6374 | 266.6325 | 279.099 | 0.0249 | 0 | 10.00 | >10.00 | >10.00 | PSO | 137.1411 | 2.1006 | 11.5850 | 10.4237 | 0.0335 | 0.0211 | 5.0000 | 6.9000 | 3.5200 | NPSO | 99.5311 | 1.4641 | 7.3532 | 4.8223 | 0.0281 | 0.0712 | 4.3800 | 4.7800 | 2.7000 | GPSO | 96.4319 | 1.3808 | 17.3114 | 5.3215 | 0.0281 | 0.1865 | 5.0600 | 5.6800 | 3.8200 | DE–NLJ | 241.7747 | 3.7608 | 36.8931 | 38.4890 | 0.0360 | 0.0014 | 6.2200 | 10.0000 | 5.6400 | GADE | 270.6472 | 3.6972 | 50.1241 | 52.3179 | 0.0358 | 0.0011 | 6.1800 | 10.0000 | 6.0600 | GNPSO | 83.3646 | 0.9969 | 9.9141 | 3.7646 | 0.0281 | 0.1345 | 3.9800 | 5.0800 | 2.5800 |
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The bold values mean the best values among all the algorithms.
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