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

Kung, Ying‐Shieh; Than, Hoang; Chuang, Tzu-Yao

doi:10.1007/s00542-016-3248-x

Cited by 12 publications

(8 citation statements)

References 12 publications

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“…At first, the developed control code writes in a .TXT file, afterwards it is converted into the compiler software, and then, it is compiled in hexadecimal format, and it is loaded via WIFI communication to be used by the microprocessor. control laws (20,21,22) are compared with those of proposed method applications. The control objective is met for all the initial conditions.…”

Section: B a Study Casementioning

confidence: 99%

“…Vyas et al [18] and Renato et al [19] developed embedded controllers using a hardware/software co-design technique into an FPGA. A NIOS R II soft-processor was configured in a control system with self-tuning PID controller for an X-Y table by Ying et al [20]. Zbigniew et al [21] and Chen et al [22] verified the design and implementation of a multiprocessor programmable controller on the FPGA platform for control algorithms and the design of a DRAM controller.…”

Section: Introductionmentioning

confidence: 99%

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Influence of PWM Torque Control Frequency in DC Motors by Means of an Optimum Design Method

et al. 2020

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The phenomenon of non-linearity is the main problem of a DC motor and optimum performance cannot be obtained by the calculation of the controller's parameters using conventional methods. However, a DC motor is considered an extremely common device by the low-cost and effective dynamic response in various applications. Thus, it has been a subject for research studies to take advantage of its maximum performance. This manuscript proposes an experimental methodology that consists of the following: The DC motor's characterization method for finding the ideal frequency. The design of the Firmware-based Pulse Width Modulation (PWM) generating module and the P, PD, PID controller's implementation in an own FPGA-based programmable microprocessor to obtain almost the same performance as a servo-amplifier commercial of direct-drive. The PWM is a technique widely used to regulate the speed of rotation of a DC motor, in this case, the duty cycle of the PWM is used to provide the torque necessary to the mechanics of the system in order to look for a linear relationship but using the right frequency of the characterized DC motor. Finally, based on a built prototype of a micro-positioning system using the characterized motors, and the mathematical model, in both cases the three controllers were applied in order to establish the comparison between the responses, seeking to observe if the experimental results show a great difference with respect to the simulation results. The main aim of this study is to show that the proposed methodology works. However, since there was no significant difference in both results, motors used in the closed-loop control present approximately the same linear response as that of the motor model used in the simulation.

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Section: B a Study Casementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Influence of PWM Torque Control Frequency in DC Motors by Means of an Optimum Design Method

et al. 2020

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“…The micro-meter level system is becoming increasingly important in satisfying the requirements for mass production in industrial 4.0. The permanent magnet synchronous motor (PMSM) [1][2][3][4][5] is a device designed by using permanent magnets embedded in the steel rotor to create a constant magnetic field. It provides for several better properties, including low torque ripple, high efficiency, high power density, low maintenance cost, low heat generation, and so forth.…”

Section: Introductionmentioning

confidence: 99%

“…Various control schemes have been proposed to improve the control properties and tackle the uncertainty challenge considering the adaptive techniques [1][2][3][4][5][6][7][8][9]. Based on the concept of a learning-based approach for error compensation, repetitive perfect tracking control [1] with an n-times learning filter was proposed for the X-Y stage target tracking.…”

Section: Introductionmentioning

confidence: 99%

“…The data-based friction model is used for rolling compensation. A FPGA-based self-tuning Energies 2021, 14, 7802 2 of 16 PID motion control system [2] was proposed to enhance the system performance of the X-Y table controller. This system utilizes a radial basis function (RBF) neural network with a gradient learning algorithm to reduce trajectory errors.…”

Section: Introductionmentioning

confidence: 99%

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Direct Fuzzy CMAC Sliding Mode Trajectory Tracking for Biaxial Position System

et al. 2021

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High-precision trajectory control is considered as an important factor in the performance of industrial two-axis contour motion systems. This research presents an adaptive direct fuzzy cerebellar model articulation controller (CMAC) sliding mode control (DFCMACSMC) for the precise control of the industrial XY-axis motion system. The FCMAC was utilized to approximate an ideal controller, and the weights of FCMAC were on-line tuned by the derived adaptive law based on the Lyapunov criterion. With this derivation in mind, the asymptotic stability of the developed motion system could be guaranteed. The two-axis stage system was experimentally investigated using four contours, namely, circle, bowknot, heart, and star reference contours. The experimental results indicate that the proposed DFCMACSMC method achieved the improved tracking capability, and so reveal that the DFCMACSMC scheme outperformed other schemes of the model uncertainties and cross-coupling interference.

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Development of a cost‐effective circuit hardware architecture for brushless direct current motor driver

Mishra

Banerjee

Ghosh³

et al. 2021

Circuit Theory & Apps

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SummaryA dual‐duty digital pulse‐width modulation (DDPWM) technique‐based cost‐effective control hardware architecture for brushless DC (BLDC) motor drive is reported in this paper. DDPWM control technique involves reduced computational complexity, which is beneficial in on‐chip area and power dissipation reduction. Simple Hall sensor‐based speed calculation and commutation circuits were also incorporated in the hardware to reduce the chip area further. The edge detection‐based speed calculation circuit was designed to be tolerant of any external noise or glitch in the Hall sensor signal. The proposed hardware architecture was implemented on the field‐programmable gate array (FPGA) and application‐specific integrated circuit (ASIC) platform using TSMC 180‐nm technology library. The ability of the integrated circuit (IC) for resource utilization reduction was validated by comparing the FPGA‐implemented architecture with the existing literature. The FPGA‐implemented architecture was also examined in real‐time using an experimental prototype BLDC motor setup. The drive response with dynamic load and speed variations, speed control precision, and glitch tolerant speed calculation is reported in the paper. The ASIC implementation demonstrates that the developed architecture sampled at 50 MHz is highly effective in the gate count and power dissipation reduction compared to the standard PI controller‐based width modulated pulse generation hardware architecture.

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

Cited by 12 publications

References 12 publications

Influence of PWM Torque Control Frequency in DC Motors by Means of an Optimum Design Method

Influence of PWM Torque Control Frequency in DC Motors by Means of an Optimum Design Method

Direct Fuzzy CMAC Sliding Mode Trajectory Tracking for Biaxial Position System

Development of a cost‐effective circuit hardware architecture for brushless direct current motor driver

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