Artificial Neural Network-Based Control of Switched Reluctance Motor for Torque Ripple Reduction

Table 19

Values of the improved model in different cases at t = 0.1, 0.25, and 0.4 seconds.

Sr. no.	Cases	MSE	Torque (Nm)		Speed (rad/s)	Phase a (A)	Phase b (A)	Phase c (A)
1	Speed + ANN and current	2.9618e + 04	T (s)	—	—	—	—	—
			T = 0.1	−380	1036	−0.1197	147.16	2.0127
			T = 0.25	−0.63	1715	194	−0.119	−0.120
			T = 0.4	−412	752.9	210	−0.1198	−0.120
2	Current + ANN and speed	Phase a, 5.4102e − 04	T = 0.1	55.7	7386	1.388	2.99	0.0121
		Phase b, 1.3625e − 11	T = 0.25	51.3	8803	7.78	0.923	0.025
		Phase c, 1.8346e − 10	T = 0.4	48.4	9548	11	0.455	3.236
3	Speed + noise + ANN and current simple	7.1480e + 03	T = 0.1	1.44	1122.2	−0.120	200.1	−0.119
			T = 0.25	−0.67	821.3	−0.12	18.57	15.26
			T = 0.4	2.53	811.2	17	−0.119	16.39
4	Current + noise + ANN and speed simple	Phase a, 220.81	T = 0.1	53.2	8784	8.04	0.0026	0.103
		Phase b, 220.81	T = 0.25	52	10532	5.91	0.205	0.342
		Phase c, 220.81	T = 0.4	52.8	11588	0.039	0.145	1.921