Research Article
Design a PID Controller for Suspension System by Back Propagation Neural Network
Table 9
Comparison between actual gain parameters of PID and the BPN model (with newelm function).
| Number | | | | Actual | Predicted | Percentage of error | Actual | Predicted | Percentage of error | Actual | Predicted | Percentage of error |
| 1 | 12614.31 | 13017.95 | 3.25 | 16743.32 | 16949.26 | 1.23 | 28345.20 | 30091.26 | 6.16 | 2 | 14590.41 | 15830.59 | 8.50 | 15234.90 | 16011.87 | 5.10 | 27670.82 | 28365.35 | 2.51 | 3 | 12090.59 | 12634.66 | 4.50 | 16045.61 | 16474.02 | 2.67 | 26674.96 | 27013.73 | 1.27 | 4 | 14278.66 | 14649.90 | 2.60 | 16396.63 | 16955.75 | 3.41 | 27869.42 | 28752.88 | 3.17 | 5 | 14797.23 | 15674.70 | 5.93 | 16853.16 | 17341.83 | 2.90 | 27001.56 | 27322.87 | 1.19 | 6 | 14856.34 | 15683.83 | 5.57 | 16166.90 | 16186.30 | 0.12 | 25438.94 | 25487.28 | 0.17 | 7 | 14879.61 | 15821.48 | 6.33 | 15879.61 | 15965.35 | 0.54 | 26730.38 | 27075.20 | 1.29 | 8 | 14898.49 | 14916.36 | 0.12 | 15990.53 | 16204.80 | 1.34 | 28593.77 | 30134.97 | 5.39 | 9 | 14478.19 | 15394.65 | 6.33 | 15069.52 | 15841.07 | 5.12 | 27433.71 | 28720.35 | 4.69 | 10 | 13967.83 | 14526.54 | 4.00 | 16649.37 | 16919.08 | 1.62 | 28082.82 | 28695.02 | 2.18 | 11 | 12889.63 | 13119.06 | 1.78 | 16298.48 | 16818.40 | 3.19 | 29782.51 | 29830.16 | 0.16 | 12 | 12794.88 | 13164.65 | 2.89 | 15589.92 | 15903.27 | 2.01 | 25967.69 | 25970.28 | 0.01 | 13 | 12797.34 | 12799.25 | 0.015 | 15590.29 | 16446.19 | 5.49 | 27420.55 | 28026.54 | 2.21 | 14 | 13312.90 | 14244.80 | 7.00 | 15690.33 | 16189.28 | 3.18 | 28890.69 | 29269.15 | 1.31 |
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