PMSM (permanent magnet synchronous motor) coordination control optimization method based on mechanical connection

Abstract

The invention discloses a PMSM (permanent magnet synchronous motor) coordination control optimization method based on mechanical connection, and the method comprises the steps: designing a single PMSMcontrol algorithm, determining a synchronous control structure of a dual-motor drive system, building a dual-PMSM dynamic mathematic model, writing the mathematic model into a singular perturbation system form, carrying out the decomposing of the subsystems, decomposing an optimal state adjustment problem and a performance index, solving a subsystem Riccati equation, combining optimal solutions of the subsystems into the optimal solution of a main system, and achieving the optimization of the dual-PMSM coordination control. The method can achieve the dual-PMSM coordination control through thereduction of the synchronization error between motors, and does not depend on the tracking error and control precision of a single motor for achieving the coordination control between motors. The method is simple in design, is easy to understand, is small in calculation burden, and is high in practicality. The method reduces the solving orders of the system through the singular perturbation theory, and reduces the calculation burden during system design.

Description

technical field [0001] The invention relates to an optimization method for coordinated control of double motors, which belongs to the technical field of power electronics and electric transmission, in particular to an optimized method for coordinated control of double permanent magnet synchronous motors with mechanical connection. Background technique [0002] With the continuous improvement of industrial application technology, the traditional single-motor drive scheme can no longer meet the control requirements of complex systems, so we gradually began to study multi-motor drive schemes. Multi-motor systems are widely used in many fields, such as papermaking, belt conveyor, aerospace, rail transit [4] and other fields. The quality of the multi-motor coordination system directly affects the production efficiency and product quality, and even involves issues such as equipment service life and working environment safety. In the multi-motor synchronous control system, in the ...

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Problems solved by technology

The PID control structure is simple and the parameters are easy to adjust, but in the control of some complex processes, there are shortcomings such as large overshoot and weak robustness; the sliding mode control solves the control problem of nonlinear systems, but at the same time it brings chattering problems; Adaptive control can effectively overcome the interference of the parameter change of the controlled object. Its disadvantages are that the mathematical model and algorithm are complicated, and the identification and correction are slow; neural network control has nonlinear mapping ability, learning ability and intellectual processing ability, etc. However, its control algorithm is relatively complex, and the amount of data calculation is large; fuzzy PID control has strong robustness, good dynamic response, and good adjustment effect, and can realize system decoupling, but the formulation of fuzzy control rules mainly depends on expert opinions, and once determined, cannot be determined. Change; the adaptive sliding mode control method minimizes the control cost and also reduces the chattering phenomenon caused by sliding mode control, but it increases the system complexity and the disadvantages of physical implementation difficulty

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