# A Novel CCS-MPC Algorithm for SPMSM Position Control with Innovative Constraint Processing Strategy

## TL;DR

This paper introduces a new control algorithm for precise position control of surface-mounted permanent magnet synchronous motors.

## Contribution

The novel NCCS-MPC algorithm improves multi-step predictive control and introduces an innovative constraint processing strategy.

## Key findings

- The NCCS-MPC algorithm compensates for one-step computational delay and ensures steady-state performance.
- The ICPS strategy effectively handles constraint conflicts by integrating speed, current, and voltage constraints.
- Simulation and experimental results confirm the effectiveness of the proposed control strategy.

## Abstract

In this study, we develop a novel continuous control set model predictive control (NCCS-MPC) strategy for surface-mounted PMSM (SPMSM) position control, which consists of the improved multi-step model predictive position control (IMS-MPPC) algorithm and an innovative constraint processing strategy (ICPS). The algorithm reforms the predictive model in the conventional strategy for multi-step model predictive position control, and the one-step computational delay is compensated for within the multi-step CCS-MPC frame, guaranteeing steady-state performance. The ICPS takes speed and current constraints into account during reference trajectory planning and imposes a voltage constraint on the unconstrained optimization result, removing the problem of constraint conflict. A comparative simulation study combined with experimental results verified the merits of the proposed NCCS-MPC.