Double-loop PI controller design of the DC-DC boost converter with a proposed approach for calculation of the controller parameters

2017 ◽  
Vol 232 (2) ◽  
pp. 137-148 ◽  
Author(s):  
Ayhan Özdemir ◽  
Zekiye Erdem
Keyword(s):  
Discrete Time ◽  
Direct Current ◽  
Experimental Studies ◽  
Boost Converter ◽  
Performance Criteria ◽  
Compact Form ◽  
Double Loop ◽  
Proportional Integral Derivative ◽  
Proportional Integral ◽  
Model Based

Parameters of digital proportional–integral/proportional–integral–derivative controllers are usually calculated using commonly known conventional methods or solution of discrete-time equations. In literature, a model-based compact form formulation for calculation of discrete-time proportional–integral/proportional–integral–derivative controller parameters has not been come across yet. The proposed model-based compact form formulations are introduced to calculate the proportional–integral parameters in discrete time as a new approach. Generally, different types of control techniques are chosen in similar studies for double-loop control for direct current–direct current boost converter control except proportional–integral/proportional–integral. In this study, double-loop proportional–integral controller is used as a different control method from literature. By this way, the most important advantages of the proposed study are to reduce different design methods to a unique proportional–integral design method and shorten all calculations. The accuracy of the double-loop proportional–integral controller’s parameters calculated using the model-based compact form formulations is validated both in simulation and experimental studies under various disturbance effects. Satisfactory performance of the proposed controller under model uncertainty and other cases are comparatively shown with the predefined performance criteria.

scholarly journals Centroid variability model–based control of HITUWV for automatic underwater welding with enhanced stability and accuracy

2019 ◽  
Vol 11 (11) ◽  
pp. 168781401989021
Author(s):  
Yang Luo ◽  
Jianguo Tao ◽  
Zhuang Hao ◽  
Hao Sun ◽  
Zhandong Li ◽  
...  
Keyword(s):  
High Stability ◽  
Automatic Welding ◽  
Proportional Integral Derivative ◽  
Proportional Integral Derivative Controller ◽  
Underwater Welding ◽  
Proportional Integral ◽  
Model Based ◽  
Institute Of Technology ◽  
Stability And Accuracy ◽  
Variability Model

This article presents a centroid variability model–based controller of HITUWV (Underwater Welding Vehicle by Harbin Institute of Technology), an underwater welding vehicle, for automatic welding with high stability and accuracy. First, an accurate centroid variability model, which considers the coefficient changes of the HITUWV caused by the movements of a 3-degree-of-freedom manipulator, is presented to perform the dynamic characteristics of the HITUWV precisely. Second, a centroid variability model–based adaptive sliding model controller is developed for the HITUWV to complete centroid variability compensation. Experimental results indicate that the proposed centroid variability model–based adaptive sliding model controller demonstrates better performances in stability and accuracy than the conventional proportional–integral–derivative controller and the model-based proportional–integral–derivative controller. As a result, the centroid variability model–based adaptive sliding model controller holds great practicality and utility on the control of underwater operation with high stability and accuracy.

scholarly journals Optimization of the PID-PD parameters of the overhead crane control system by using PSO algorithm

2019 ◽  
Vol 255 ◽  
pp. 04001 ◽  
Author(s):  
Nur Iffah Mohamed Azmi ◽  
Nafrizuan Mat Yahya ◽  
Ho Jun Fu ◽  
Wan Azhar Wan Yusoff
Keyword(s):  
Pso Algorithm ◽  
Performance Criterion ◽  
Performance Criteria ◽  
Step Response ◽  
Pd Controller ◽  
Overhead Crane ◽  
Proportional Integral Derivative ◽  
Criterion Function ◽  
Proportional Integral ◽  
Load Swing

The development of combination of proportional-integral-derivative and proportional- derivative (PID-PD) controller for overhead crane is presented. Due to the pendulum-like settings, the swinging of load has caused many difficulties while operating the overhead crane. Swinging of the load causes unnecessary tension to the cable and structure of the overhead crane, which will compromise the safety of operator and other workers. Overhead cranes should have the ability to move the load to desired point as fast as possible while minimizing the load swing and maintaining the accuracy. Proportional-integral-derivative (PID) controller is used for overhead crane positioning and proportional-derivative (PD) controller for load oscillation. New time-domain performance criterion function is used in particle swarm optimization (PSO) algorithm for the tuning of the PID-PD controller rather than the general performance criteria using error of the system. This performance criterion function monitors the performance in terms of rise time, overshoot, settling time and steady state error of the overhead crane system. The performance of the optimised PID-PD controller is verified with simulation in MATLAB. The PSO optimized PID-PD controllers with new performance criterion are shown effective in improving the step response of the overhead crane position as well as controlled the load oscillation.

scholarly journals Position control for haptic device based on discrete-time proportional integral derivative controller

2022 ◽  
Vol 12 (1) ◽  
pp. 269
Author(s):  
Nguyen Van Tan ◽  
Khoa Nguyen Dang ◽  
Pham Duc Dai ◽  
Long Vu Van
Keyword(s):  
Discrete Time ◽  
Pid Controller ◽  
Position Control ◽  
Haptic Device ◽  
Advanced Technology ◽  
Proportional Integral Derivative ◽  
Force Output ◽  
Kinematic Equation ◽  
End Effector ◽  
Proportional Integral

Haptic devices had known as advanced technology with the goal is creating the experiences of touch by applying forces and motions to the operator based on force feedback. Especially in unmanned aerial vehicle (UAV) applications, the position of the end-effector Falcon haptic sets the velocity command for the UAV. And the operator can feel the experience vibration of the vehicle as to the acceleration or collision with other objects through a forces feedback to the haptic device. In some emergency cases, the haptic can report to the user the dangerous situation of the UAV by changing the position of the end-effector which is be obtained by changing the angle of the motor using the inverse kinematic equation. But this solution may not accurate due to the disturbance of the system. Therefore, we proposed a position controller for the haptic based on a discrete-time proportional integral derivative (PID) controller. A Novint Falcon haptic is used to demonstrate our proposal. From hardware parameters, a Jacobian matrix is calculated, which combines with the force output from the PID controller to make the torque for the motors of the haptic. The experiment was shown that the PID has high accuracy and a small error position.

scholarly journals Hybrid control technique for minimizing the torque ripple of brushless direct current motor

2018 ◽  
Vol 51 (7-8) ◽  
pp. 321-335 ◽  
Author(s):  
K Prathibanandhi ◽  
R Ramesh
Keyword(s):  
Fractional Order ◽  
Direct Current ◽  
Hybrid Technique ◽  
Proportional Integral Derivative ◽  
Inference System ◽  
Proportional Integral Derivative Controller ◽  
Proportional Integral ◽  
Direct Current Motor ◽  
Torque Ripples ◽  
Brushless Direct Current Motor

This paper presented the brushless direct current motor torque ripple reduction based on the speed and torque control using hybrid technique. The dynamic behavior of the brushless direct current motor is analyzed in terms of the parameters such as the speed, current, back electromotive force and torque. Based on the parameters, the motor speed is controlled and minimized the torque ripples. For controlling the speed of the brushless direct current motor is utilized the fractional-order proportional–integral–derivative controller for generating the optimal control pulses. With the use of fractional-order proportional–integral–derivative controller, the optimal gain parameters are needed to reduce the torque ripples and control the speed of brushless direct current motor. By utilizing the hybrid technique, the gain parameters are utilized to analyze the optimal gain parameters of fractional-order proportional–integral–derivative controller. The hybrid technique is the combination of adaptive neuro-fuzzy inference system with firefly algorithm. The proposed strategy is simple in structure and robust to reduce the complexities of the mathematical computations. Initially, the nature inspired optimization algorithm of firefly algorithm is analyzed for finding the error function. In addition, the efficient adaptive neuro-fuzzy inference system controller which becomes an integrated method of approach is performed to control the error functions in order to yields excellent optimized gain values. After that, the control signals are applied to the input of voltage source converter of brushless direct current motor. With this control strategy, the harmonics and torque ripples are minimized. Based on the proposed control strategy, the speed and torque performance is analyzed. The effectiveness of the proposed technique is implemented in MATLAB/Simulink platform and evaluates their performance. The performance analysis of the proposed method is demonstrated and contrasted with the existing techniques such as bat algorithm, particle swarm optimization algorithm and ant–lion optimizer algorithm with fractional-order proportional–integral–derivative controller techniques.

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