FPGA-realization of a sensorless speed controller for PMSM drives using novel sliding mode observer

Microsystem Technologies - FPGA-realization of a rotor position estimation algorithm based on a novel sliding mode observer (SMO) for permanent magnet synchronous motor (PMSM) drives is adopted in...     

Maximum torque per ampere control of IPMSM drive by fuzzy logic

Microsystem Technologies - This paper mainly focuses on studying the torque control with maximum torque per ampere (MTPA) technique based on fuzzy theory and without dealing with complex...     

FPGA-realization of a self-tuning PID controller for X–Y table with RBF neural network identification

Microsystem Technologies - Based on field programmable gate array (FPGA) technology, a realization of a servo/motion control system with the self-tuning PID controller for X–Y table is...     

FPGA-based adaptive backstepping fuzzy control for a micro-positioning Scott-Russell mechanism

This paper utilizes the field programmable gate array (FPGA) and Nios II embedded processor technologies to design a controller IC for a micro-positioning Scott-Russell (SR) mechanism, which is driven by a piezoelectric actuator (PA) and its hysteresis phenomenon is described by Bouc-Wen hysteresis model. For the controller design, the adaptive backstepping fuzzy control (ABFC) method is developed to compensate the PA's hysteresis and achieve the motion tracking control. The fuzzy logic method (FLM) is utilized to find the best adaptation gain of the adaptation law and control gain of the stabilization controls. This ABFC controller method can improve the transient and asymptotic tracking performances, and make the SR mechanism keep good working performance when external disturbances is added in the control system. Finally, we successfully apply the system-on-a-programmable-chip (SoPC) technologies to develop the motion controller IC, and achieve the advantages of reduced space, high performance and low cost.     

Design and implementation of a high-performance field-orientedinduction motor drive

The design and implementation of a high-performance controller for a field-oriented induction motor drive is presented. Dynamic modeling based on the stochastic technique is performed. Based on the estimated drive model, a two-degree-of-freedom controller is proposed so good dynamic responses in both the speed tracking and regulation characteristics can be achieved. The parameters of the controller are found using a proposed systematic design procedure according to the prescribed specifications. Having designed and tested the performance of the controller by simulation, the hardware implementation is successfully made, and some experimental results are given to demonstrate the effectiveness of the proposed controller     

Realization of a Motion Control IC for $X{-}Y$ Table Based on Novel FPGA Technology

The novel field-programmable-gate-array (FPGA) technology is able to combine an embedded processor and an application intellectual property to be a system-on-a-programmable-chip developing environment. Therefore, this paper presents a motion control IC for the X-Y table under this novel FPGA technology. The proposed motion control IC has two modules. One module performs the functions of the motion trajectory and two position/speed controllers for the X-Y table. The other module performs the functions of two current vector controllers of permanent-magnet synchronous motor drives. The former is implemented by software using a Nios II embedded processor due to the complicated control algorithm and low-sampling-frequency control (motion trajectory and position control: less than 1 kHz). The latter is implemented by hardware in the FPGA owing to the requirements of high-sampling-frequency control (current loop: 16 kHz; PWM circuit: 4-8 MHz) but simple computation. As a result, the hardware/software codesign technology can make the motion controller of the X-Y table more compact, flexible, perform better, and less costly.     

FPGA-realization of the kinematics IP for SCARA robot

Microsystem Technologies - In the implementation of robot motion control, it often requires complex forward and inverse kinematics calculation. However, this algorithm requires more CPU time in the...     

A fuzzy controller improving a linear model following controllerfor motor drives

Since the dynamic response trajectory of a traditional fuzzy controller can not be quantitatively controlled, a fuzzy model following controller is proposed in this paper. In the proposed controller, an output feedback linear model following controller (LMFC) is first designed according to the roughly estimated plant model to let its response follow the output generated by a reference model. Then a model following error driven control signal is synthesized such that good model following characteristics can be preserved at various operating conditions. The proposed controller is applied to the speed control of an induction motor drive. Dynamic signal analysis of the model following behavior is made and the procedure for constructing the control algorithms is described in detail. The performance of the drive and the effectiveness of the proposed controller are demonstrated by some simulated and experimental results