Robust PI speed tracking control for PMSM system based on convex optimization algorithm

Abstract

In order to optimize the speed-control performance of the permanent magnet synchronous motor (PMSM) driver system, a novel proportional-integral (PI) speed tracking control algorithm with convex optimization techniques is developed in this paper. Instead of debugging repeatedly or depending on experience to obtain PI control gains, an LMI-based PI control algorithm is proposed to ensure the PMSM system stability and convergence of the tracking error of angular velocity to zero. Moreover, the load torque disturbance attenuation performance with L1 optimization index can also be guaranteed simultaneously. It is noted that rigorous stability and performance analysis for the speed-control of PMSM system can be provided by the designed optimization algorithm. Finally, simulation studies and results demonstrate that the proposed method obtains good robust tracking performance.

Intelligent Speed Control and Performance Investigation of a Vector Controlled Electric Vehicle Considering Driving Cycles

“…In recent years, especially in the last decade, permanent magnet synchronous motor (PMSM) drives have been extensively employed in various domains, such as wind-power generation and traction applications, especially electric vehicles. PMSM has several advantages over other machines such as its high efficiency, high torque and power-to-inertia ratios, and high acceleration and deceleration rates [27]. During the last decade, more attention was given to optimization techniques and researchers still try to inspire new optimization algorithms from natural wisdom.…”

Non‐singular terminal sliding mode adaptive control of permanent magnet synchronous motor based on a disturbance observer

“…High precision control of PMSM is much more challenging and has received a considerable amount of attention in the literature. At present, many advanced control methods have been applied to the motor control system (see the survey paper [1] and references therein), such as improved proportional‐integral (PI) control [2], active disturbance rejection control (ADRC) [3], sliding mode variable structure control [4, 5], adaptive control [6], internal model control [7], model predictive control [8], neural network control [9], and so on. Proportional‐integral‐derivative (PID) control has been widely used in a motor control system due to its simple controller structure [10].…”

“…Proportional‐integral‐derivative (PID) control has been widely used in a motor control system due to its simple controller structure [10]. As the differential control of the PID is sensitive to the system noise, PI control is commonly applied in the servo system [2]. However, the fixed parameters of the PI controller make it difficult to achieve a good performance at different speeds.…”

Speed Tracking Control of Permanent Magnet Synchronous Motor Based on High Gain Controller

“…To show the effectiveness of the proposed controller in this paper, we considered a parameterized PMSM system [15]. The considered parameters are shown in table1.…”