Process Control of Laser Grooving Using Acoustic Sensing

1991 ◽  
Vol 113 (3) ◽  
pp. 268-275 ◽  
Author(s):  
G. Chryssolouris ◽  
P. Sheng ◽  
F. von Alvensleben
Keyword(s):  
Resonant Frequency ◽  
Pid Controller ◽  
Process Model ◽  
Laser Machining ◽  
Depth Of Cut ◽  
Acoustic Sensing ◽  
Loop Control ◽  
Control Scheme ◽  
Constant Area ◽  
Control Concept

This paper discusses a closed-loop control concept for laser machining. A key development in the proposed control scheme is an acoustic sensor for inferring hole, kerf, and groove geometry in real time during laser machining. By sensing the acoustic signal emitted from the impingement of a gas jet on the erosion front, correlations between resonant frequency and hole, kerf or groove geometry were found. A process model was developed from applying the wave equation to the case of an elliptically-expanding or a constant-area jet. Experiments showed an inverse relationship between depth of cut and resonant frequency for grooving, cutting, and drilling cases. The paper also includes preliminary simulation results of a closed-lop control scheme for laser grooving using acoustic sensing and a PID controller.

scholarly journals Implementation of Decentralized Control Scheme to Control a MIMO System using Response Optimization Toolbox in MATLAB

2019 ◽  
Vol 8 (4) ◽  
pp. 10712-10715
Keyword(s):  
Heat Exchanger ◽  
Pid Controller ◽  
Process Model ◽  
Mimo System ◽  
Optimization Technique ◽  
Parameter Tuning ◽  
Tube Heat Exchanger ◽  
Output Response ◽  
Control Scheme ◽  
Response Optimization

In this paper, Model based approach is implemented to control a heat exchanger prototype using optimization technique for parameter tuning of PID controller. Mathematical modelling of heat exchanger is done using mechanical specifications and differential equations of “Shell and Tube heat exchanger”. Optimally tuned PID controller is used to control the process model. Output response of optimal PID controlled model is compared with ordinary PID controlled model’s output response in results. Response optimization technique is implemented in this process to tune the parameters of the PID controller. It makes the response as a settled one on the desired value and also gives the stable response.

scholarly journals Two-Layer Predictive Control of a Continuous Biodiesel Transesterification Reactor

2013 ◽  
Vol 2013 ◽  
pp. 1-14 ◽  
Author(s):  
Hongyan Shi ◽  
Dingding Wang ◽  
Decheng Yuan ◽  
Tianran Wang
Keyword(s):  
Predictive Control ◽  
Pid Controller ◽  
Process Model ◽  
Control Method ◽  
Mechanistic Model ◽  
Dynamic Control ◽  
Step Response ◽  
Control Scheme ◽  
Finite Step ◽  
Optimal Set

A novel two-layer predictive control scheme for a continuous biodiesel transesterification reactor is presented. Based on a validated mechanistic model, the least squares (LS) algorithm is used to identify the finite step response (FSR) process model adapted in the controller. The two-layer predictive control method achieves the steady-state optimal setpoints and resolves the multivariable dynamic control problems synchronously. Simulation results show that the two-layer predictive control strategy leads to a significant improvement of control performance in terms of the optimal set-points tracking and disturbances rejection, as compared to conventional PID controller within a multiloop framework.

scholarly journals Robust Adaptive PID Controller for a Class of Uncertain Nonlinear Systems: An Application for Speed Tracking Control of an SI Engine

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Tossaporn Chamsai ◽  
Piyoros Jirawattana ◽  
Thana Radpukdee
Keyword(s):  
Tracking Control ◽  
Pid Controller ◽  
Closed Loop ◽  
Sliding Mode ◽  
Si Engine ◽  
Loop Control ◽  
First Order ◽  
Speed Tracking ◽  
Control Scheme ◽  
Speed Tracking Control

The sliding mode control (SMC) technique with a first-order low-pass filter (LPF) is incorporated with a new adaptive PID controller. It is proposed for tracking control of an uncertain nonlinear system. In the proposed control scheme, the adaptation law is able to update the PID controller online during the control process within a short period. The chattering phenomenon of the SMC can be alleviated by incorporation of a first-order LPF, while the robustness of the control system is similar to that of the sliding mode. In the closed-loop control analysis, the convergence condition in the reaching phase and the existence condition of the sliding mode were analyzed. The stability of the closed-loop control is guaranteed in the sense of Lyapunov’s direct method. The simulations and experimental applications of a speed tracking control of a spark ignition (SI) engine via electronic throttle valve control architecture are provided to verify the effectiveness and the feasibility of the proposed control scheme.

scholarly journals Closed Loop Control of an Isolated semi-SEPIC DC-DC Converter using PID Controller

2020 ◽  
Vol 9 (2) ◽  
pp. 1165-1169
Keyword(s):  
Pid Controller ◽  
Output Voltage ◽  
Closed Loop ◽  
Voltage Source ◽  
Closed Loop Control ◽  
Matlab Simulink ◽  
Loop Control ◽  
Control Scheme ◽  
Input Source ◽  
Source Voltage

This paper presents the closed loop control scheme of the semi-sepic coupled inductor based DC DC converter using a PID controller, enhancing the overall performance of the system. The PID controller usually enhances the transient and steady state performance of the system. The objective here is to maintain the output voltage of the DC/DC converter constant irrespective of the variations in the input/source voltage, components and load current. The implementation of the proposed scheme is done using the blocks of MATLAB Simulink and the model is tested with the controlled voltage source by giving some disturbance at the input where the output is well regulated irrespective of the changes in the input/source voltage. Comparative analysis on the performance of the converter with and without PID controller is carried out using MATLAB Simulink. The output voltage of the converter with PID controller is regulated under disturbed input voltages.

scholarly journals 5G Poor and Rich Novel Control Scheme Based Load Frequency Regulation of a Two-Area System with 100% Renewables in Africa

2020 ◽  
Vol 5 (1) ◽  
pp. 2
Author(s):  
Hady H. Fayek
Keyword(s):  
Power System ◽  
Fractional Order ◽  
Packet Loss ◽  
Pid Controller ◽  
Frequency Control ◽  
Operating Conditions ◽  
Load Frequency Control ◽  
Load Frequency ◽  
Control Scheme ◽  
Non Linear

Remote farms in Africa are cultivated lands planned for 100% sustainable energy and organic agriculture in the future. This paper presents the load frequency control of a two-area power system feeding those farms. The power system is supplied by renewable technologies and storage facilities only which are photovoltaics, biogas, biodiesel, solar thermal, battery storage and flywheel storage systems. Each of those facilities has 150-kW capacity. This paper presents a model for each renewable energy technology and energy storage facility. The frequency is controlled by using a novel non-linear fractional order proportional integral derivative control scheme (NFOPID). The novel scheme is compared to a non-linear PID controller (NPID), fractional order PID controller (FOPID), and conventional PID. The effect of the different degradation factors related to the communication infrastructure, such as the time delay and packet loss, are modeled and simulated to assess the controlled system performance. A new cost function is presented in this research. The four controllers are tuned by novel poor and rich optimization (PRO) algorithm at different operating conditions. PRO controller design is compared to other state of the art techniques in this paper. The results show that the PRO design for a novel NFOPID controller has a promising future in load frequency control considering communication delays and packet loss. The simulation and optimization are applied on MATLAB/SIMULINK 2017a environment.

Calculation of Effective Ground Depth of Cut by Means of Grinding Process Model

2011 ◽  
Vol 496 ◽  
pp. 7-12 ◽  
Author(s):  
Takazo Yamada ◽  
Michael N. Morgan ◽  
Hwa Soo Lee ◽  
Kohichi Miura
Keyword(s):  
Process Model ◽  
Ground Surface ◽  
Depth Of Cut ◽  
Grinding Wheel ◽  
Grinding Process ◽  
Wheel Wear ◽  
Elastic Deformations ◽  
Proposed Model ◽  
Effective Depth ◽  
Grinding Machine

In order to obtain the effective depth of cut on the ground surface, a new grinding process model taking into account thermal expansions of the grinding wheel and the workpiece, elastic deformations of the grinding machine, the grinding wheel and the workpiece and the wheel wear was proposed. Using proposed model, the effective depth of cut was calculated using measured results of the applied depth of cut and the normal grinding force.

A Control Strategy for Intelligent Stamp Forming Tooling

2011 ◽  
Vol 133 (6) ◽  
Author(s):  
William J. Emblom ◽  
Klaus J. Weinmann
Keyword(s):  
Fuzzy Logic ◽  
Control Systems ◽  
Control Strategy ◽  
Pid Controller ◽  
Closed Loop ◽  
Closed Loop Control ◽  
Linear Quadratic ◽  
Blank Holder ◽  
Loop Control ◽  
Stamp Forming

This paper describes the development and implementation of closed-loop control for oval stamp forming tooling using MATLAB®’s SIMULINK® and the dSPACE®CONTROLDESK®. A traditional PID controller was used for the blank holder pressure and an advanced controller utilizing fuzzy logic combining a linear quadratic gauss controller and a bang–bang controller was used to control draw bead position. The draw beads were used to control local forces near the draw beads. The blank holder pressures were used to control both wrinkling and local forces during forming. It was shown that a complex, advanced controller could be modeled using MATLAB’s SIMULINK and implemented in DSPACE CONTROLDESK. The resulting control systems for blank holder pressures and draw beads were used to control simultaneously local punch forces and wrinkling during the forming operation thereby resulting in a complex control strategy that could be used to improve the robustness of the stamp forming processes.

Numerical investigation of chatter suppression in milling using active fixtures in open-loop control

2016 ◽  
Vol 24 (9) ◽  
pp. 1757-1773 ◽  
Author(s):  
Lorenzo Sallese ◽  
Niccolò Grossi ◽  
Antonio Scippa ◽  
Gianni Campatelli
Keyword(s):  
Numerical Investigation ◽  
Removal Rate ◽  
Active Vibration Control ◽  
Open Loop ◽  
Influential Factors ◽  
Depth Of Cut ◽  
Control Logic ◽  
Loop Control ◽  
Testing Environment ◽  
Chatter Suppression

Among the chatter suppression techniques in milling, active fixtures seem to be the most industrially oriented, mainly because these devices could be directly retrofittable to a variety of machine tools. The actual performances strongly depend on fixture design and the control logic employed. The usual approach in the literature, derived from general active vibration control applications, is based on the employment of adaptive closed-loop controls aimed at mitigating the amplitude of chatter frequencies with targeted counteracting vibrations. Whilst this approach has proven its effectiveness, a general application would demand a wide actuation bandwidth that is practically impeded by inertial forces and actuator-related issues. This paper presents the study of the performance of alternative open-loop actuation strategies in suppressing chatter phenomena, aiming at limiting the required actuation bandwidth. A dedicated time-domain simulation model, integrating fixture dynamics and the features of piezoelectric actuators, is developed and experimentally validated in order to be used as a testing environment to assess the effectiveness of the proposed actuation strategies. An extensive numerical investigation is then carried out to highlight the most influential factors in assessing the capability of suppressing chatter vibrations. The results clearly demonstrated that the regenerative effect could be effectively disrupted by actuation frequencies close to half the tooth-pass frequency, as long as adequate displacement is provided by the actuators. This could sensibly increase the critical axial depth of cut and hence improve the achievable material removal rate, as discussed in the paper.

Design and control of 2-DoF joystick using MR-fluid rotary actuator

2021 ◽  
pp. 1045389X2110639
Author(s):  
Bao Tri Diep ◽  
Quoc Hung Nguyen ◽  
Thanh Danh Le
Keyword(s):  
Pid Controller ◽  
Force Feedback ◽  
Control Method ◽  
Open Loop ◽  
Friction Torque ◽  
Feedback Controls ◽  
Loop Control ◽  
Fuzzy Logic Algorithm ◽  
Experimental Apparatus ◽  
Close Loop Control

The purpose of this paper is to design a control algorithm for a 2-DoF rotary joystick model. Firstly, the structure of the joystick, which composes of two magneto-rheological fluid actuators (shorten MRFA) with optimal configuration coupled perpendicularly by the gimbal mechanism to generate the friction torque for each independent rotary movement, is introduced. The control strategy of the designed joystick is then suggested. Really, because of two independent rotary movements, it is necessary to design two corresponding controllers. Due to hysteresis and nonlinear dynamic characteristics of the MRFA, controllers based an accurate dynamic model are difficult to realize. Hence, to release this issue, the proposed controller (named self-turning fuzzy controllers-STFC) will be built through the fuzzy logic algorithm in which the parameters of controllers are learned and trained online by Levenberg-Marquardt training algorithm. Finally, an experimental apparatus will be constructed to assess the effectiveness of the force feedback controls. Herein, three experimental cases are performed to compare the control performance of open-loop and close-loop control method, where the former is done through relationship between the force at the knob and the current supplied to coil while the latter is realized based on the proposed controller and PID controller. The experimental results provide strongly the ability of the proposed controller, meaning that the STFC is robust and tracks well the desirable force with high accuracy compared with both the PID controller and the open-loop control method.

DEVELOPMENT OF ANN-BASED PID CONTROLLER FOR ACTIVE FLUID-FILM BEARING CONTROL

2020 ◽  
Vol 6 ◽  
pp. 94-100
Author(s):  
N.N. MAKHOVA ◽  
A.Yu. BABIN
Keyword(s):  
Neural Network ◽  
Pid Controller ◽  
Particle Swarm Optimization Algorithm ◽  
Fluid Film ◽  
Training Dataset ◽  
Swarm Optimization ◽  
Controlled System ◽  
Active Fluid ◽  
Control Scheme ◽  
Controlled Object

The article proposes a method for controlling an active fluid-film bearing, based on the use of a classical PID controller in conjunction with an artificial neural network. The regulator coefficients are not constant numbers, but are chosen by the network depending on the state of the controlled system. To implement such a control scheme, the coefficients are selected using a particle swarm optimization algorithm, which constitutes the training dataset, and an ANN is trained using the dataset. The controlled object is represented with a model operating in the Simulink environment.

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