Position Control Of DC Servomotor Research Articles

Minimization of Harmonics in BLDC Motor Drive Using Fuzzy Logic Based Variable Inductor Filter Drive

ABSTRACT Harmonic analysis and its mitigation are very important for high-performance brushless DC motor drives. Conventional fixed LC filter work around its tuned frequency, resulting narrow band for operation. High-frequency current ripples can result in significant damage to the motor bearings. In this paper, afuzzy-based servo controlled variable inductor is proposed as apart of LC filter. Arotary variable inductor is controlled by using DC servo motor connected to it. Rotary variable inductor shaft is to be turned around to adistinct angle to attain imposed inductor value by using DC servomotor position control. This expands its operating frequency range more effectively. The current harmonics are compared for operation with and without the proposed filter. Proposed system was simulated using MATLAB/Simulink and implemented on 2 kW, 48 V, 8 pole pair BLDC motor drive for demonstration. Athree-phase IGBT-based voltage source inverter is used to drive the motor. Experimental results presented validate the effectiveness with improvement in current harmonics elimination by 22%. More importantly, improvement in THD is observed at lower operating frequencies too. This makes the scheme more useful for varying speed/load applications. Reduction in harmonics enhances other performance parameters of the BLDC motor drive.

RETRACTED: Assessment of Position Control of DC Servomotors with PID and Sliding Mode Control Approach

A position control of a discussion of DC servomotors is addressed in this article via a novel adaptive PID with sliding mode control approach. In this works to introduce the exact type of power control by sliding mode control for position and speed control of DC servo motor. The paper contributes union and examination of DC servo motor with sliding mode controller and a regular PID controller. This procedure has done through the demonstrating and reproductions are done and their performing is evaluated as in consistent and in addition in a transient state. Thusly, the DC servo motor position drive is dubious to parameter grouping and load disturbing effect, a liberal control approach in light of sliding mode. The proposed approach has the additionally favored standpoint that, for outside unsettling influence, it just requires a bound to exist, without having to know the extent of this bound. The proposed controller is connected to control a model of unverifiable acceptance servomotor subject to huge unsettling influences and a model of DC servomotor with obscure parameters and vulnerability in load condition. In this article, the helpfulness of the anticipated Procedure is approved by performing simulations utilizing MATLAB device. The reproduction comes about an exhibit that the part of the sliding mode-based course of action is supplementary strong than robust than fixed gain PID controller.

FPGA implementation of linear model predictive controller for real-time position control of DC motor

Model predictive control (MPC) is a predictive class of control algorithm which has been widely adopted for slow dynamic, constrained, multi-variable process control problems. The applicability of MPC for real-time control is restricted due to the associated computational complexity of quadratic programming (QP) problem and the choice of appropriate computing platforms. MPC can be formulated as a standard QP problem and according to receding horizon control strategy, in order to get optimal control signal to apply to the system, in each discrete time step, a QP problem is to be solved online. In order to meet high sampling frequency demand of real-time control applications, in this paper, we propose a novel accelerated field programmable gate array (FPGA)-based customised architecture for active set method (ASM)-based QP solver to implement linear MPC. The approach is implemented successfully on Xilinx's Virtex-4 FPGA and demonstrated practically by applying MPC to Quansers QET DC servomotor position control plant. From experimentation; it is observed that, FPGA-based implementation occupies 35% of Virtex-4 area and achieves 500 µs sample time.

Design of a Fuzzy Logic Sliding mode Model Following Controller for a Brushless DC Servomotor Drivers

Problem statement: A brushless DC servomotor position control system using a fuzzy logic sliding mode model following controller or FLSMFC is presented. Approach: The FLSMFC structure consists of an integrator and variable structure system. Results: The integrator ensures the elimination of steady state error due to step and ramp command inputs, while the fuzzy control would maintain the insensitivity to parameter variation and disturbances. The FLSMFC strategy is implemented and applied to a position control of a brushless DC servomotor. Conclusion/Recommendations: Experimental results indicated that FLSMFC system performance with respect to the sensitivity to parameter variations is greatly reduced. Also, its can achieve a rather accurate servo tracking and avoids the chattering phenomenon.

Design of a Fuzzy-Based PID Controller for a DC Servomotor Position Control

In this paper, a fuzzy controller is designed for a DC servomotor position control using Adaptive Neuro-Fuzzy Inference System (ANFIS). The proposed design procedure is divided into 2 steps. In the first, for a wide range of parameter change, a Proportional-Integral-Derivative (PID) controller is designed to control the DC servomotor for regulation and tracking problems. In the second, the error, between the desired and actual motor position, its derivative and its integral, and the PID output are used as training data to train iteratively a fuzzy inference system using ANFIS. The effectiveness is demonstrated through diverse tests, namely, parameter variation, regulation, and tracking of the desired shaft position.

等価外乱トルクオブザーバの推定誤差をファジィ推論により同定したDCサーボモータのロバスト位置制御

等価外乱トルクオブザーバの推定誤差をファジィ推論により同定したDCサーボモータのロバスト位置制御

Fuzzy precompensated PID controllers

While proportional integral derivative (PID) controllers are widely used in industrial applications, they exhibit poor performance when applied to systems containing unknown nonlinearities, such as deadzones, saturation, and hysteresis. In this paper, the authors propose a fuzzy logic-based precompensation approach for PID controllers. The authors demonstrate the performance of their scheme via experiments performed on a DC servomotor position control testbed under varying load conditions. The authors' results show that the fuzzy precompensated PID controllers have superior performance compared to conventional PID controllers. In addition, the proposed scheme is robust to variations in load. In the experimental testbed, the variations in loading conditions correspond to variations in the level of nonlinearities in the plant. The authors' scheme is easily implemented in practice simply by adding a fuzzy precompensator to an existing PID controller.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Fuzzy hybrid control for DC servomotor.

In recent years, fuzzy control has found significant applications in many engineering fields. However, the design method of fuzzy control systems has not been established yet, and it is difficult to realize a precise control because control signals are derived from fuzzy scheme of inferences. On the other hand, it is well known that a conventional PD linear control can offer a precise control.In this paper, a new hybrid control scheme is proposed, which is attempt to combine the advantages of PD control and a fuzzy control. In the points which are close to the reference point, a PD control is mainly used to obtain the precision, and in other points a fuzzy contol is mainly used to improve the transient response and to cope with the nonlinearity of systems. From the experimental results on position control of DC servomotor, it is confirmed that the proposed hybrid controller performes better than either PD or fuzzy control.

Adaptive Control Schemes for DC Servomotors

The DC motors used in robotics and other industrial applications are submitted to frequent environment changes. As a consequence the motor model has time-varying parameters resulting in a poor performance when nonadaptive linear controllers are used. In this paper, two adaptive schemes for the position control of DC servomotors have been studied. The first scheme is based on self-tuning technique which uses pole-assignment by linear state feedback as the control strategy The second scheme uses adaptive feedforward in addition to pole-assigning linear state feedback. Experimental results show that a simple self-tuning control scheme for DC servomotors is a better solution to low cost automation problems in robotics and other industrial applications.The results obtained show that the adaptive scheme proposed by Kelly [1] seems to offer no great benefit, rather it seems to increase the amount of overshoot. Standard schemes such as selftuning control provide cost-effective solution to the control problem.The paper is organized as follows: a DC motor model and linear state feedback controller are discussed in Section II. Section III deals with selftuning regulator, whereas adaptive feedforward with linear state feedback is dealt with in Section IV. Experimental results on the DC motor control are given in Section V and some conclusions are drawn in Section VI.