Synchronous reluctance motors (SynRMs) play a key role in modern vehicles as they do not require permanent magnets and sliding brushes, reducing maintenance requirements and increasing reliability. My research focused on the development of robust torque control for SynRM. In the simulations, I compared the linear quadratic (LQ) controller with the conventional proportional–integral (PI) controller. To apply the LQ control method, I converted the nonlinear motor model into a linear one. We expect the results of this research to show that the LQ controller provides faster and more robust performance than the PI controller. LQ control can provide faster response times and a more stable operation, which are particularly important under dynamic vehicle operating conditions. Although LQ control is more computationally intensive and takes longer to fine tune, the results show that it results in a better and more stable control system. Such benefits are significant in dynamic vehicle operating conditions where fast and reliable torque control is essential. Overall, it can be concluded that advanced control techniques such as LQ can contribute to increasing the efficiency and performance of synchronous reluctance motors in the automotive industry, thus contributing to the development of sustainable and reliable vehicles.