Low speed control and implementation of permanent magnet synchronous motor for mechanical elastic energy storage device with simultaneous variations of inertia and torque

Abstract

The spiral torsion spring-based mechanical elastic energy storage (MEES) device presented previously with inherent characteristic of simultaneous variations of inertia and torque is disadvantage to be actuated by conventional control method. This study proposes an improved non-linear backstepping control scheme based on combination of recursive least squares (RLS) and differential evolution (DE) optimisation to regulate permanent magnet synchronous motor (PMSM) at a very low speed and control MEES device effectively. For this presented control scheme, first, a single RLS method with forgetting factor is presented to simultaneously estimate the time-varying inertia and torque of MEES device. Second, on the basis of estimation results, an improved non-linear backstepping control algorithm considering parameter variations in derivation process is proposed to drive PMSM to operate at a very low speed. Finally, a self-adaptive parameter DE method is designed to optimise the several control parameters. The performance of the proposed methodology is verified through simulations and experiments.

Fast Determination of Moment of Inertia of Permanent Magnet Synchronous Machine Drives for Design of Speed Loop Regulator

“…In the drive control, the PMSM can be expressed in the δθ-axis reference frame as follows: [28], gravity [5] and other external forces. Besides, it should be emphasized that for simplicity, the parameter Φ in this paper can be regarded as a lumped parameter representing all nonlinear terms such as viscous/Coulomb friction, core loss and windage effects.…”

“…arameters of permanent magnet synchronous machine (PMSM) drive systems are of great importance for the design of controllers and related parameter determination technologies are now widely reported [1]- [28]. For example, electrical parameters such as δθ-axis inductances and winding resistance [20] are usually needed for the design of current loop proportional-integral (PI) controllers while mechanical parameters such as combined moment of inertia (ϑ) and viscous friction coefficient (Φ) are quite important for the design of speed loop controllers [18]- [20], [22]- [25].…”

“…For example, in [1], system inertia and disturbance torque are estimated to aid the speed observation of a low speed induction machine. In [28], the RLS is employed for the estimation of variations of time-varying inertia and load torque, which are then employed to improve the performance of a back stepping controller for low speed PMSM.…”

A stator current vector orientation based multi-objective integrative suppressions of flexible load vibration and torque ripple for PMSM considering electrical loss

“…Spiral torsion spring (STS) is known for its features of large storage capacity, high power density, and long lifetime. Nowadays, STS used for electrical energy storage has been widely investigated [4]- [7] and recognized.…”

Indirect fuzzy contour tracking for X – Y PMSM actuated motion system applications

“…Friction models are not easily represented with equations and it is challenging to achieve precision with respect to real characteristics. The fuzzy-logic-based theorem [12][13][14][15][16][17][18][19][20][21] combined with the sliding-mode method [22][23][24][25][26] has emerged as an alternative approach to cope with control systems characterised by non-linearity and uncertainties.…”