Abstract
In this paper, the approach to creating of the suboptimal voltage regulator in the power supply of deep-water vehicle was represented, this approach is based on the desired transfer function. In the construction of regulator, polynomials of Newton and Butterworth second and third orders are used; the optimal order of the polynomials, settling time and cutoff frequency are identified. These parameters make it possible to obtain the specified requirements for the transition process duration in the power supply without significant overshoot. It was suggested to use the polynomials of the second order. This solution greatly simplifies the type of controller without any loss of stabilization quality. The results of the research of various developed regulators were shown. The regulator with fixed parameters doesn't ensure the correct operation of the power supply in the entire load range. To expand the limits of voltage stabilization, the regulator with variable parameters was proposed. It is implemented in the form of two regulators operating within the specified load range. For real power supply systems with output power of 48 kW and 21 kW, combined regulators are synthesized. They allow us to stabilize the voltage at the load with the given error in a wide range of changes. The algorithm for switching regulators was developed and this algorithm is based on changing the load parameters. At the same time with providing a wider range of controller operation in the nominal loads mode, a positive accessory voltage is proposed. The accessory voltage value is determined by the technically measured phase current of the output filter of the Autonomous voltage inverter. The work of the obtained regulators was tested on the simulation model of the power supply of the remote operating underwater vehicle, the model was implemented in Matlab/Simulink environment.
Keywords
Power supply, autonomous object, suboptimal regulator, desired transfer function, voltage stabilization, combined regulator, mathematical modeling, approximation, Matlab/Simulink.
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