This thesis describes the design and construction of a high performance induction motor drive, controlled by a network of parallel (INMOS) Transputer processors. The flexibility and high computational ability of the controller is demonstrated by the implementation of three forms of indirect vector control for the induction motor (here termed "V-Type, "V-Type with Current Feedback" and "I-Type") on two motor drive rigs. Results show that V-Type control with current feedback is superior, and that on-line parameter estimation (namely the rotor time constant) is required. The controller has been expanded to incorporate two parameter identification strategies for assessment. The first, termed "Reactive Power Measurement", has proved successful in matching the controller value of rotor time constant to the actual machine value of rotor time constant. The second, termed "PRBS Injection with Cross- Correlation" has proved inconclusive and is the subject of on-going research. The performance of the transputer parallel processing network for real time control is discussed. This assessment is felt to be significant since parallel architectures are likely to become increasingly exploited as the processors become cheaper, more powerful and flexible, and with enhanced system support.