Abstract: A multistep finite control set model predictive control method for linear induction machines is provided, and the method belongs to a control technology field for linear induction machines. The method specifically includes the following steps: collecting a primary phase current of a linear induction machine in a three-phase coordinate system; solving a multistep reference voltage vector sequence by iteration according to a current value; keeping only two non-zero voltage vectors and one zero voltage vector that are closest to a reference voltage vector in each predictive step; and further eliminating a voltage vector sequence having a large cost function value through dynamic online comparison with a cost function value.

Abstract: A multistep finite control set model predictive control method for linear induction machines is provided, and the method belongs to a control technology field for linear induction machines. The method specifically includes the following steps: collecting a primary phase current of a linear induction machine in a three-phase coordinate system; solving a multistep reference voltage vector sequence by iteration according to a current value; keeping only two non-zero voltage vectors and one zero voltage vector that are closest to a reference voltage vector in each predictive step; and further eliminating a voltage vector sequence having a large cost function value through dynamic online comparison with a cost function value.

Abstract: The present disclosure provides an arbitrary double vector and model prediction thrust control method and system, which belongs to the technical field of linear induction motor control. The present disclosure combines a double vector modulation algorithm to improve the modulation accuracy, in which two voltage vectors are used in one cycle, so that the amplitude of the fluctuation can be reduced, thereby improving the running performance of the motor. The addition of the double vector modulation strategy increases the complexity of the algorithm, and the calculation process is too complicated. The present disclosure further proposes a simplified search process instead of the traditional repeated calculation and comparison method, which eliminates the need for a complex online calculation process, thereby simplifying the implementation process of the algorithm in the actual system.

Abstract: The present disclosure provides an arbitrary double vector and model prediction thrust control method and system, which belongs to the technical field of linear induction motor control. The present disclosure combines a double vector modulation algorithm to improve the modulation accuracy, in which two voltage vectors are used in one cycle, so that the amplitude of the fluctuation can be reduced, thereby improving the running performance of the motor. The addition of the double vector modulation strategy increases the complexity of the algorithm, and the calculation process is too complicated. The present disclosure further proposes a simplified search process instead of the traditional repeated calculation and comparison method, which eliminates the need for a complex online calculation process, thereby simplifying the implementation process of the algorithm in the actual system.