Abstract
The operational performance of the spiral spring energy storage system is affected by the vibration of the spiral spring and the electrical loss of the permanent magnet synchronous motor. It is important to eliminate vibration and reduce electrical loss. A unified control scenario for speed regulation and vibration suppression based on the minimum electrical loss is proposed. First, the spiral spring is equivalent to an Euler–Bernoulli beam and its dynamic model suitable for control is established via the Lagrange equation. Then, the unified control scenario is proposed through nonlinear backstepping control. The speed controller and current controller including modal vibration suppression and minimum electrical loss operation of the system are established, and the stability of the controller is theoretically proved. Moreover, for unknown vibration mode of the spiral spring, a vibration mode–based estimation method with the least-squares algorithm is designed. Aiming at the uncertainty of the permanent magnet synchronous motor’s iron loss resistance, an estimation algorithm based on an adaptive neural fuzzy inference system is designed. The experimental results verify the correctness and effectiveness of the proposed control scheme. In comparison with traditional backstepping control, the proposed control method can effectively suppress the vibration of the spiral spring and realize the stable and highly efficient energy storage operation of the system.
Highlights
The basic goal of a modern power system that is to operate in the way of cleanness and high efficiency promotes the bulk of new energy sources to connect to the grid
To address the issues of vibration control, speed regulation, and minimal control for the Spiral spring energy storage (SSES) system driven by the permanent magnet synchronous motor (PMSM) simultaneously, an integrated control scheme of backstepping control, least-squares modal estimation, and adaptive neural fuzzy inference system (ANFIS) identification of iron loss resistance is developed
The results of the study are as follows: 1. When the system is subjected to vibration suppression control and minimum electrical loss control, it is able to achieve stable and efficient energy storage, and the feasibility and effectiveness of the proposed algorithm are verified
Summary
The basic goal of a modern power system that is to operate in the way of cleanness and high efficiency promotes the bulk of new energy sources to connect to the grid. In allusion to the control problem in the context, the overall system model of the PMSM actuating flexible spiral spring load with variable torque, large size, and inertia is to be established based on the Lagrange equation. Based on realizing the minimum electrical loss condition through the Lagrange equation, two backstepping controllers of speed and current are designed to regulate the speed of the PMSM and suppress the vibration of the spring. An integrated control scheme of speed regulation and vibration suppression based on nonlinear backstepping control for the PMSM directly driving flexible load is proposed with consideration of minimum electrical loss of the PMSM.
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