Direct Speed Control of a PMSM Drive Using SDRE and Convex Constrained Optimization

0481225 - ÚTIA 2019 RIV US eng J - Journal Article
Šmídl, V. - Janouš, Š. - Adam, Lukáš - Peroutka, Z.
Direct Speed Control of a PMSM Drive Using SDRE and Convex Constrained Optimization.
IEEE Transactions on Industrial Electronics. Roč. 65, č. 1 (2018), s. 532-542. ISSN 0278-0046. E-ISSN 1557-9948
Grant - others:GA MŠk(CZ) LO1607
Institutional support: RVO:67985556
Keywords : Velocity control * Optimization * Stators * Voltage control * Predictive control * Optimal control * Rotors
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 7.503, year: 2018
http://library.utia.cas.cz/separaty/2017/AS/smidl-0481225.pdf

The challenge for control of PMSM drives is to achieve high dynamics, accurate steady state performance and respect all constraints on input voltage and stator currents. Many partial results on each of these aspects are available. Recently, it has been shown that existing techniques can be combined with ideas from predictive control to achieve satisfaction of state constraints such as maximum current amplitude. In this paper, we propose to complement the direct speed control based state-dependent Riccati equation (SDRE) approach by explicit constraints on the current amplitude and the field weakening curve. Since cost-to-go function for SDRE is available, the problem is formulated as quadratic programming with quadratic constraint. The resulting controller achieves excellent steady state solution due to SDRE and satisfies constraints on the maximum current amplitude and field weakening operation. Experimental tests of the proposed cascade-free speed control are performed on a laboratory prototype of a 10.7 kW PMSM drive. The proposed optimization routine can be used to enforce state constraints in other unconstrained control methods.
Permanent Link: http://hdl.handle.net/11104/0277011