**9. Conclusions**

The performance of the stator and rotor variables was effectively studied by utilising dynamic and static Simulink designs for the modelling of an induction machine. In contrast to several existing induction machine design applications, the operator has access to all internal parameters in this design in order to gain knowledge about the machine's operations. By utilising such designs, any machine control method can be modelled in the Matlab/Simulink software without estimation techniques. For every module, individual variable calculations were performed. Each designer's function was modelled, and critical variables were observed.

In this work, a dq0-direct axis algorithm was presented in order to implement both static and dynamic modelling of a three-phase induction machine due to possible faults and high-performance requirements for induction machines. The proposed algorithm was compared with several conventional methods. It was observed that under stable conditions of the machinery, the proposed algorithm could remove any developing faults. This conserves time and minimises the labour required of an operator, which makes the proposed algorithm more efficient. Furthermore, the machine demonstrated a steady-state performance with respect to the current, active power, efficiency, reactive power, power factor, and speed when the torque loads ranged from 0% to 125% of the nominal torque. The transient behaviour of the machine was shown through the current, electromagnetic torque, electromagnetic torque versus speed, and speed under no-load, half-load (50%), and full-load (100%) conditions. Finally, the results of the proposed technique were compared to the results of the measured parameters. It was found that when the load changed from a half load (50%) to a full load (100%), the supply voltage was suddenly halved with the load at full load (100%). It was observed that the proposed algorithm provides accurate estimates with a deviation of not more than +/−2% from the measured parameters.

**Author Contributions:** Conceptualisation and methodology, P.F.L.R. and M.K.N.; Software, P.F.L.R.; Validation, P.F.L.R.; Investigation, P.F.L.R.; Writing—original draft preparation, P.F.L.R. and M.K.N.; Writing—review and editing, P.F.L.R.; Supervision, P.F.L.R. All authors have read and agreed to the published version of the manuscript.

**Funding:** This research received no external funding.

**Acknowledgments:** The authors would like to acknowledge the reviewers for their academic and specialist assistance and beneficial remarks.

**Conflicts of Interest:** The authors declare no conflict of interest.
