Precise Speed Control Research Articles

Design of Diesel Engine Adaptive Active Disturbance Rejection Speed Controller

The ship main engine speed control system is a typical nonlinear system and it is uncertain characteristics, It is influenced by the wind, wave, flow etc. So it is difficulted to designed the diesel engine mathematical model. This pa- per presents a nonlinear mathematical model of ship main engine. Because the active disturbance rejection controller does not depend on the mathematical model of the system, this paper attempts to use the ADRC control technology to marine main engine speed controller. And fuzzy controller is used to modiffy the ADRC parameters to im- prove the adaptive ability of active disturbance rejection controller; So it is designed the fuzzy ADRC controller of ship main engine adaptive. The simulation results show that the ship main engine speed fuzzy ADRC controller has strong robustness, and speed switching is fast and smooth, so it can achieve high precision speed control.

Numerical implementation of wavelet and fuzzy transform IFOC for three-phase induction motor

This article elaborates the numerical implementation of a novel, indirect field-oriented control (IFOC) for induction motor drive by wave-let discrete transform/fuzzy logic interface system unique combination. The feedback (speed) error signal is a mixed component of multiple low and high frequencies. Further, these signals are decomposed by the discrete wave-let transform (WT), then fuzzy logic (FL) generates the scaled gains for the proportional-integral (P-I) controller parameters. This unique combination improves the high precision speed control of induction motor during both transient as well as steady-state conditions. Numerical simulation model is implemented with proposed control scheme using Matlab/Simulink software and obtained results confirm the expectation.

Fontan Circulatory Assist Device1

Fontan Circulatory Assist Device1

Supervision and Control Architecture for CNC Machine TOOL Using Rapid Prototyping

CNC (Computer Numerical Control) machine tools are high precision milling devices largely employed due to their high precision and simultaneous positioning and speed control of each machine axis. The main objective of this paper is to develop a virtual environment using rapid prototyping tools focusing on its implementation complexity and on the final quality result of each alternative. This work proposes applications in the devices of industrial machine tools that feature control architecture and open supervision, which can be integrated into different applications of the Industrial Automation (sensor, actuators, vision system and others) using tools for rapid prototyping of embedded control systems. The development of this research work enabled integrating knowledge in the different areas of engineering, which resulted in the implementation of a supervision and control system. Finally, this work allowed developing an open environment to capacitate professionals involved in projects in the area of industrial automation, where the main concepts and industrial problems can be verified and validated, while assisting in the analysis and implementation of strategies to develop these applications.

Precise angular speed control of permanent magnet DC motors in presence of high modeling uncertainties via sliding mode observer-based model reference adaptive algorithm

The major concentration of this study is on developing a control scheme with parameter- and load-insensitive features capable of precise angular speed regulation of a permanent magnet (PM) DC motor in the presence of modeling uncertainties. Towards this objective, first, an appropriate nonlinear dynamic model of friction, the modified LuGre model, is opted and incorporated into the mathematical model of a PM DC motor. Then a sliding mode observer (SMO) is designed to estimate the state variable of the friction model. Next, a model reference adaptive control system into which estimated values of the friction state and parameters are fed is designed to track the desired speed trajectory while alleviating the adverse effects of model uncertainties and friction. Stability of the proposed SMO-based MRAC system is discussed via the Lyapunov stability theorem, and its asymptotic stability is verified. In addition to simulation studies, the algorithm is implemented on a new variable structure test-bed which gives us the ability to simulate desired parameter variations and external disturbance changes in experiment. The main contribution of the proposed scheme is the bounded estimation of the system’s friction parameter. While similar control solutions do estimate these parameters, there is no guarantee that they will estimate the correct value of friction parameters. However, in the proposed method, by properly choosing the design parameters, if certain criteria is satisfied, the estimated friction parameters will be in the bounded vicinity of their actual values. The obtained results show the effectiveness of the proposed tracking algorithm and its robustness against load and system parameters’ variations.

An on-line trained neural controller with a fuzzy learning rate of the Levenberg–Marquardt algorithm for speed control of an electrical drive with an elastic joint

This paper describes the application of a neural model in a speed control loop of an electrical drive with an elastic mechanical coupling. Such mechanical construction makes precise speed control more difficult because of the oscillation tendency of state variables caused by a long shaft. The goal of the presented application was the replacement of a classical speed controller by an on-line trained neurocontroller, based on only one feedback from easily measurable driving motor speed. The proposed controller is based on the feedforwad neural network. Internal coefficients of neural model – weights – are adapted on-line according to the Levenberg–Marquardt algorithm. One of the problematic issues in such implementation is selection of a learning factor of the weight adaptation algorithm. In the proposed solution, a fuzzy model was implemented for calculation of this learning coefficient. The proposed solution was compared to the classical one with a PI speed controller. The designed control structure was tested in simulations and verified in experiments, using dSPACE1103 card.

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This project presents a design of a PID algorithm for driving agricultural robot motors. This approach has been proved with MATLAB simulation results. This kind of position control can be improved using adaptive algorithm. This project also described implementation of PID using PWM method. The robot prototype can move rapidly with the controller. Based on the study, the accuracy of the moving velocity of the robot can be further improved, such as the use of artificial neural networks and genetic algorithms for precise speed control. The results obtained from the PID simulation in MATLAB-Simulink shows that PID algorithm gives considerable

Using Inverter Frequency in Continuous Caster Length Cutting System of the Cutting Scale Calculation

In continuous casting industry, scale cutting is used to control the current domestic company’s adoption: "to touch the ball type", "friction roller number", "the camera imaging control type" and "the infrared switch control type" etc. Their cost and their accuracy are different. Inverter is the product of perfect combination of power electronic technology and computer technology. Inverter speed control precision is high, speed range is wide and energy saving effect is obvious, which is widely used in the motor system. Inverter changes the motor speed by changing the frequency. There are three ways to change the frequency (or change the frequency of the signal): PU panel, external terminal and communication cables.

Design ADRC for Cutter Suction Dredger Cutter Motor Variable Frequency Drive System

In order to achieve precise speed control for cutter suction dredger cutter motor, the controller should adapt well to uncertainties, such as geological environment, water flow, mechanical disturbance, etc. It makes the design of cutter motor controller always a hard work. This paper proposes an active disturbance rejection controller (ADRC) approach for cutter suction dredger cutter motor variable frequency drive system. Firstly, the LabVIEW platform was established by virtual instrument technology, which collected operating data of cutter motor in fundamental wave and total harmonic distortion (THD). Then cutter motor motion mathematic model was built and the ADRC design method was introduced. Lastly, the simulation results in the cutter velocity control and disturbance environments were done. The results show that the ADRC controller has strong robustness, and the precise speed control can be implemented.

Ultrasound-modulated bubble propulsion of chemically powered microengines.

The use of an ultrasound (US) field for rapid and reversible control of the movement of bubble-propelled chemically powered PEDOT/Ni/Pt microengines is demonstrated. Such operation reflects the US-induced disruption of normal bubble evolution and ejection, essential for efficient propulsion of catalytic microtubular engines. It offers precise speed control, with sharp increases and decreases of the speed at low and high US powers, respectively. A wide range of speeds can thus be generated by tuning the US power. Extremely fast changes in the motor speed (<0.1 s) and reproducible "On/Off" activations are observed, indicating distinct advantages compared to motion control methods based on other external stimuli. Such effective control of the propulsion of chemically powered microengines, including remarkable "braking" ability, holds considerable promise for diverse applications.

Construction of the Precision Solution Spraying System Based on Single-Axis Servo Control

In modern industrial processing of the materials, the solution spraying technology is widely used. Spraying a layer of special solution plays an important role to change their physical and chemical properties. Based on single-axis servo control, precision solution spraying system is able to spray a very thin and a uniform layer of solution on the surface of materials as required. The spraying system mechanical structure is mainly composed of these parts: housing, single-axis servo translation stage, push-pull syringe, multifunctional nozzle and other components. The servo translation stage is capable of providing precise control of speed and stroke by using a specialized controller and driver. The system is running stably and smoothly throughout the experiments after the completion of the entire system assembly and it can fully comply with the requirements of customers with excellent sealing performance, feature-rich and human-friendly control interface and compact mechanical structure.

Analysis and Design of PLL Motor Speed Control System

Phase-locked technology in motor speed control system has a wide range of applications, Especially for high accuracy in the motor steady speed operation situation, more and more use of phase-locked servo control system. This paper describes the block diagram and mathematical model of phase-locked control system, Shows the circuit parameter calculation method This and combined with design example analysis of phase-locked control system, Indicated through the theory and practice, using PLL can obtain good speed control precision. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.3391

THE CRITERIA OF OPTIMIZATION OF MODES OF INHIBITION OF OTREPEV COMPOSITION IN CONDITIONS OF ACTION OF RANDOM FACTORS

Purpose. The article is devoted to improved methods of optimizing managed to cuts settlement group, unlike the existing ones into account the influence of random factors and can be used for operational management of rolling cuts the hump. Thus the proposed criterion optimization inhibition cuts composition in terms of the deviation of actual parameters cuts from the calculated values and the uncertainty of realization brake positions given mode of inhibition. Methods. The study used simulation process rolling cuts the hump. To optimize braking mode cuts used iterative method. Results. Taking into account the influence of random factors that act on cuts the process rolling when braking cuts optimization allows to increase the precision speed control between cuts. Scientific novelty. The method of optimization cuts controlled braking in the settlement group, unlike the existing ones into account the influence of random factors and can be used for operational management of rolling cuts the hump. The practical significance. The research results can be used in the development of software feasibility study designs and technical support marshalling humps in systems design, as well as automated control systems switchyard

High performance controller for interior permanent magnet synchronous motor drive using artificial intelligence methods

This paper develops a high performance PI based controller for an Interior Permanent Magnet Synchronous Motor (IPMSM) drive. An artificial neural network is used for on-line tuning of the PI controller. The Genetic Algorithm (GA) has been used in this work in order to obtain the optimized values of the controller parameters for precise speed control for different operating conditions over a wide speed range. In this paper, an integral Anti-Windup (AW) strategy for the PI speed controller is also utilized to suppress the undesired side effect known as integrator windup when large set-point changes are made.The optimal behavior of the drive can be achieved by considering two control strategies: Maximum Torque Per Ampere (MTPA) and Flux-Weakening (FW).In developing the proposed controller, the PI controller parameters and, also, the anti-windup strategy are optimized by GA for some operating conditions, in a closed loop vector control scheme. By obtaining the parameters at a number of points in the possible operating region, a look-up table approach has been completed. Then, an ANN is trained by this look-up table. Ultimately, the well-trained ANN is utilized for on-line tuning of the controller parameters to ensure optimum drive performance under different disturbances and operating conditions.

Highly Precise Rotational Speed Control by a Hybrid of PLL and Repetitive Control

Highly Precise Rotational Speed Control by a Hybrid of PLL and Repetitive Control

Detection of Induction Motor Faults in Inverter Drives Using Inverter Input Current Analysis

Broken rotor bar/end-ring and eccentricity are common faults in squirrel-cage induction motors and have been thoroughly investigated in the case of ac grid supply. In this paper, these types of faults are studied in the case of inverter-driven motors. More specifically, a novel investigation in inverter input current spectrum is made in order to reliably detect the fault-indicative frequency components. These harmonics give the ability for fault detection and classification, even under low load and low motor severity fault condition in steady-state or transient operation. The proposed diagnostic method has been particularly designed for open-loop controlled variable frequency induction motor drives, which is a usual case in low-cost industrial drives where precise speed control of the motor is not required. Moreover, an alternative technique is also presented in case the stator current is measured.

A study on dosimetric properties of electronic portal imaging device and its use as a quality assurance tool in Volumetric Modulated Arc Therapy

Aim In this study, the dosimetric properties of the electronic portal imaging device were examined and the quality assurance testing of Volumetric Modulated Arc Therapy was performed. Background RapidArc involves the variable dose rate, leaf speed and the gantry rotation. The imager was studied for the effects like dose, dose rate, field size, leaf speed and sag during gantry rotation. Materials and methods A Varian RapidArc machine equipped with 120 multileaf collimator and amorphous silicon detector was used for the study. The characteristics that are variable in RapidArc treatment were studied for the portal imager. The accuracy of a dynamic multileaf collimator position at different gantry angles and during gantry rotation was examined using the picket fence test. The control of the dose rate and gantry speed was verified using a test field irradiating seven strips of the same dose with different dose rate and gantry speeds. The control over leaf speed during arc was verified by irradiating four strips of different leaf speeds with the same dose in each strip. To verify the results, the RapidArc test procedure was compared with the X-Omat film and verified for a period of 6 weeks using EPID. Results The effect of gantry rotation on leaf accuracy was minimal. The dose in segments showed good agreement with mean deviation of 0.8% for dose rate control and 1.09% for leaf speed control over different gantry speeds. Conclusion The results provided a precise control of gantry speed, dose rate and leaf speeds during RapidArc delivery and were consistent over 6 weeks.

Combined Sliding Mode Control with a Feedback Linearization for Speed Control of Induction Motor

Induction Motor (IM) speed control is an area of research that has been in prominence for some time now. In this paper, a nonlinear controller is presented for IM drives. The nonlinear controller is designed based on input-output feedback linearization control technique, combined with sliding mode control (SMC) to obtain a robust, fast and precise control of IM speed. The input-output feedback linearization control decouples the flux control from the speed control and makes the synthesis of linear controllers possible. To validate the performances of the proposed control scheme, we provided a series of simulation results and a comparative study between the performances of the proposed control strategy and those of the feedback linearization control (FLC) schemes. Simulation results show that the proposed control strategy scheme shows better performance than the FLC strategy in the face of system parameters variation.

Combined Sliding Mode Control with a Feedback Linearization for Speed Control of Induction Motor

Induction Motor (IM) speed control is an area of research that has been in prominence for some time now. In this paper, a nonlinear controller is presented for IM drives. The nonlinear controller is designed based on input-output feedback linearization control technique, combined with sliding mode control (SMC) to obtain a robust, fast and precise control of IM speed. The input-output feedback linearization control decouples the flux control from the speed control and makes the synthesis of linear controllers possible. To validate the performances of the proposed control scheme, we provided a series of simulation results and a comparative study between the performances of the proposed control strategy and those of the feedback linearization control (FLC) schemes. Simulation results show that the proposed control strategy scheme shows better performance than the FLC strategy in the face of system parameters variation.

A comparative study of various intelligent based controllers for speed control of IPMSM drives in the field-weakening region

Precise speed control of an Interior Permanent Magnet Synchronous Motor (IPMSM) drive becomes a complex issue due to the nonlinear nature of its developed torque. The system nonlinearity becomes severe when the IPMSM drive operates in the field weakening region. In order to achieve perfect control characteristics, the main purpose of this paper is to present a detailed comparison of various intelligent based controllers for flux weakening speed control of an IPMSM drive. In this paper, the Brain Emotional Learning Based Intelligent Controller (BELBIC), Genetic-Fuzzy Logic Based Controller (GFLBC), as well as genetic-PI based controller, are considered. BELBIC is a computational model of emotional processing mechanism in the brain. The effectiveness of the proposed BELBIC controller-based IPMSM drive is verified by simulation results at different operating conditions. Moreover, control regimes such as Maximum Torque Per Ampere (MTPA) control and flux weakening (FW) control as well as voltage and current constraints have been successfully applied. The results prove BELBIC’s perfect control characteristics, such as fast and smooth speed response, low maximum starting current, adaptability to speed and load changes and robustness to parameter variations, disturbance and sudden one-phase interruption.