Fuzzy-scheduling control of a linear permanent magnet synchronous motor with payload variations

This paper presents a fuzzy-scheduling control scheme, including the feedback of states and the integral of tracking errors, for a linear permanent magnet synchronous motor (LPMSM). First, a parameter-dependent system model of the LPMSM is addressed. With the consideration of payload variations, a perturbed system model is described for further robustness investigation. In this paper, a Takagi—Sugeno (T-S) model is adopted to deal with the regional quadratic stability, where sufficient conditions for ensuring the performance of concern are derived in the form of linear matrix inequalities. A digital signal processor (DSP)/field programmable gate array (FPGA)-based control platform is completed to evaluate the feasibility of the proposed works. Experimental results, associated with different payload conditions, illustrate that the proposed system has satisfactory controlled responses.