Research Article
Design a PID Controller for Suspension System by Back Propagation Neural Network
Table 11
Comparison between actual gain parameters of PID and the BPN model (with newff function).
| Number | | | | Actual | Predicted | Percentage of error | Actual | Predicted | Percentage of error | Actual | Predicted | Percentage of error |
| 1 | 12614.31 | 12775.77 | 1.28 | 16743.32 | 16818.66 | 0.45 | 28345.20 | 28827.06 | 1.70 | 2 | 14590.41 | 16301.86 | 11.73 | 15234.90 | 15516.74 | 1.85 | 27670.82 | 29992.40 | 8.39 | 3 | 12090.59 | 13617.63 | 12.63 | 16045.61 | 16457.98 | 2.57 | 26674.96 | 29507.84 | 10.62 | 4 | 14278.66 | 14685.60 | 2.85 | 16396.63 | 17701.80 | 7.96 | 27869.42 | 31205.38 | 11.97 | 5 | 14797.23 | 15801.96 | 6.79 | 16853.16 | 17773.34 | 5.46 | 27001.56 | 31483.81 | 16.60 | 6 | 14856.34 | 16102.78 | 8.39 | 16166.90 | 18824.73 | 16.44 | 25438.94 | 27245.10 | 7.10 | 7 | 14879.61 | 15251.60 | 2.50 | 15879.61 | 17230.96 | 8.51 | 26730.38 | 27521.59 | 2.96 | 8 | 14898.49 | 15485.49 | 3.94 | 15990.53 | 17490.44 | 9.38 | 28593.77 | 29820.44 | 4.29 | 9 | 14478.19 | 15242.63 | 5.28 | 15069.52 | 16379.06 | 8.69 | 27433.71 | 30064.60 | 9.59 | 10 | 13967.83 | 15138.33 | 8.38 | 16649.37 | 16922.41 | 1.64 | 28082.82 | 30127.24 | 7.28 | 11 | 12889.63 | 13516.06 | 4.86 | 16298.48 | 18495.51 | 13.48 | 29782.51 | 30300.72 | 1.74 | 12 | 12794.88 | 13740.42 | 7.39 | 15589.92 | 16004.61 | 2.66 | 25967.69 | 26557.15 | 2.27 | 13 | 12797.34 | 14010.52 | 9.48 | 15590.29 | 16329.26 | 4.74 | 27420.55 | 29200.14 | 6.49 | 14 | 13312.90 | 14645.52 | 10.01 | 15690.33 | 16459.15 | 4.90 | 28890.69 | 29147.81 | 0.89 |
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