Energy optimisation of sensorless induction motor drives using a novel robust-adaptive flux simulator

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Energy optimisation of sensorless induction motor drives using a novel robust-adaptive flux simulator

Ashari, Djoni / Pislaru, Crinela / Ball, Andrew

Modern drive systems should have improved reliability and one solution is the reduction or elimination of the number of speed sensors while maximizing the efficiency of motor and drive systems. The paper presents the mathematical equations and SIMULINK implementation of a novel robust-adaptive-flux simulator. The system contains a PCC and robust observer which estimates the values of the rotor magnetic flux and optimizes the estimated values of the rotor speed so the motor core losses are minimized. The mathematical model of the system is implemented in SIMULINK and the simulated results show that the motor efficiency increases when the observer with PSO is used in comparison with the values corresponding to the case when the estimated rotor speeds were not optimized. So the drive system has high dynamic performance for a wide range of rotor speeds and leads to a significant energy saving under different load operating conditions when the observer with PSO is included in the proposed sensorless control strategy. PSO calculates the global minimum values and more research will be performed in order to determine the influence of PSO algorithm on the velocity of the regulation system. This novel robust-adaptive flux simulator using an artificial intelligence algorithm represents an important contribution to the development of intelligent energy management systems that will help attain high energy efficiency of variable speed drives by interacting dynamically with motor loads and available power sources.