Table 12 Time-based indicators illustrating the dynamic response of the SRM in scenario.

From: Hybrid adaptive ant lion optimization with traditional controllers for driving and controlling switched reluctance motors to enhance performance

Controller and optimization method

\({\text{ISE}}\, \times \,10^{ - 7}\)

\({\text{IAE}}\, \times \,10^{ - 4}\)

\({\text{ITSE}}\, \times \,10^{ - 7}\)

\({\text{ITAE}}\, \times \,10^{ - 4}\)

PI-HAALO

3388

42

336

126

PID-PSO12

634

708

326

166

PID-PPSO12

382

53

316

149

PID-ALO12

1861

374

6865

1836

PID-RIME

1948

76

397

295

PID-GEO

3123

231

1806

849

PID-GA12

865

187

988

607

FOPID-HAALO

354

45

332

147

FOPID-PSO12

560

71

604

280

FOPID-PPSO12

494

59

365

230

FOPID-ALO12

487

46

302

156

FOPID-RIME

113

40

314

130

FOPID-GEO

501

51

312

149

FOPID-GA12

490

53

324

167