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A fuzzy position controller is employed for the linear switched reluctance motor. Performance comparison between the fuzzy controller and a proportional-differential (PD) controller is carried out. Under the PD controller, the absolute steady-state error is 44.5 ~211.5 μm under normal condition and 1157–1212 μm under sustained time-variant disturbance circumstance, respectively. The absolute steady-state error of 3 μm and 9 μm can be achieved under the fuzzy controller in the normal and sustained disturbed circumstance. Experimental results demonstrate that the position tracking performance from the proposed algorithm is superior to the conventional PD control strategy, both in normal circumstance and disturbance environment. [ABSTRACT FROM AUTHOR]

In this paper, to enhance the machine performance and realize a high-precision position control performance, a dual-loop position controller is employed for the asymmetric bilateral linear hybrid switched reluctance motor (ABLHSRM). Machine characteristics are investigated by finite-element method. The dual-loop controller is constructed by employing a tradition proportional–integral differential velocity controller as the inner loop and a fuzzy proportional differential (PD) controller for the outer loop. Experimental results demonstrate that both the position control performance and the velocity control performance under the dual-loop control algorithm are superior to the single-loop PD position control strategy. An absolute steady-state error of 4 \mu \textm can be achieved under the dual-loop control strategy. Performance comparison from the ABLHSRM and its asymmetric bilateral linear switched reluctance counterpart with the same dimensions are carried out. Position tracking results show that the rise time is improved for the proposed ABLHSRM under the proposed control scheme. [ABSTRACT FROM AUTHOR]

An adaptive high-precision position control algorithm with online system identification is implemented onto the switched reluctance, two-finger gripper with coupled magnetic paths. Theoretical investigation proves that the magnetic paths from the two fingers are highly coupled. Without the introduction of any decoupling scheme, the position control performance under the proportional integral differential controller and the adaptive controller is inspected and the control results are compared. Experimental results verify that, without introducing any decoupling mechanism, the adaptive controller is capable of independent control of each finger with a high-precision and uniform position control performance. [ABSTRACT FROM AUTHOR]

An integrated rotary–linear machine based on switched reluctance principle is investigated. The characteristics of the motor are analyzed by finite-element methods, with particular emphasis on the coupled magnetic paths. Results from numerical calculation are verified by the hardware experiment. The simple yet effective decoupling algorithm for the independent position control of both rotary and linear axes is proposed. Implemented with the proportional–integral-differential algorithm, the motor is capable of high-precision rotary and linear position tracking with the steady error within 0.3^\circ and 10~\mum, respectively. [ABSTRACT FROM AUTHOR]