scholarly journals Design and Implementation of Pd based Controller for Accurate Tracking/Heading Angle

2018 ◽  
Vol 7 (4.5) ◽  
pp. 280
Author(s):  
Anil Kumar D ◽  
Dr. Hariprasad S A
Keyword(s):  
Pid Controller ◽  
Computation Time ◽  
Pi Controller ◽  
Steady State Response ◽  
Adaptive Controllers ◽  
State Response ◽  
Design And Implementation ◽  
Heading Angle ◽  
Predictive Controllers ◽  
Huge Challenge

The undesirable effects of the sea on the marine vessel became more noticeable when significant changes were introduced to the design and development of the ship. In order to accurately determine the heading angle of the ship various controllers like PD, pi,pid, predictive and adaptive controllers can be used. Predictive controllers provide accurate heading angles but the computation time becomes a huge challenge. PI controller promises stability but the steady state response time is more. In this work, we have made an attempt to evaluate PD, pi, and PID controller operation for a ship model and it has been inferred that PD is most suitable among the variants for producing the heading angle.

FPGA-Based Expert PID Controller for Buck DC-DC Converter

2013 ◽  
Vol 431 ◽  
pp. 215-220 ◽  
Author(s):  
Yao Chen ◽  
Chang Yuan Chang ◽  
Yan Yan
Keyword(s):  
Pid Controller ◽  
Stable Steady State ◽  
Buck Converters ◽  
Steady State Response ◽  
Control Laws ◽  
State Response ◽  
Digitally Controlled ◽  
Expert Theory ◽  
Expert Pid ◽  
Better Than

In this paper, an expert PID controller used for digitally controlled DC-DC buck converters is proposed. It is designed bycombing expert theory with traditional PID theory, basing on the controlled objects and the knowledge of control laws. The controller uses the expert experiences to regulate the PID parameters online according to the dynamic characteristics of the system. The simulation and practical results indicated that, comparing with conventional PID controller, the expert PID controller which has faster startup transient response, smaller overshoot and more stable steady-state response, is better than conventional PID controller. It is well fit for the demand of control system.

Effect of Axial Load on the Response of Beams on Nonlinear Viscoelastic Unilateral Foundations

2014 ◽  
Author(s):  
Udbhau Bhattiprolu ◽  
Anil K. Bajaj ◽  
Patricia Davies
Keyword(s):  
Steady State ◽  
Axial Load ◽  
Galerkin Approximation ◽  
Computation Time ◽  
Polyurethane Foams ◽  
Steady State Response ◽  
Approximation Solution ◽  
Solution Approach ◽  
State Response ◽  
Nonlinear Viscoelastic

Flexible polyurethane foams used for cushioning in the furniture and automotive industries serve as foundations and exhibit complex nonlinear viscoelastic behavior. To design systems that incorporate these materials, it is important to model their mechanical behavior and then to predict the dynamic response of such systems. The example of a pinned-pinned beam interacting with a nonlinear viscoelastic foundation is the focus of the present study. The foundation can either react in compression as well as tension (bilateral), or react only in compression (unilateral). In the latter case, the contact regions between the beam and the foundation are not known a priori, and thus the coefficients of the modal equations obtained in a Galerkin approximation solution approach, are functions of the solution as well. It is therefore computationally expensive to predict the dynamic and steady-state response of these structures to static and harmonic loads. For polynomial-type nonlinearities, it is possible to speed up the computation time by using a convolution method to evaluate integral terms in the model. Also, if only the steady-state response is of interest, direct-time integration can be replaced by incremental harmonic balance to make the frequency response predictions more efficient. The effect of axial load and the influence of various parameters e.g., loading configuration, excitation amplitude, linear and nonlinear stiffness, on the response of the beam on unilateral and bilateral foundations are studied.

Research on Triple-Loop Control of BLDCM Based on Fuzzy PID

2014 ◽  
Vol 615 ◽  
pp. 395-401
Author(s):  
Yang Hua Li ◽  
Bo Mo ◽  
Ying He ◽  
Wen Jing Zhang
Keyword(s):  
Pid Controller ◽  
Step Response ◽  
Brushless Dc Motor ◽  
Control Methods ◽  
Steady State Response ◽  
Fuzzy Pid ◽  
Loop Control ◽  
Brushless Dc ◽  
State Response ◽  
Better Than

The brushless DC motor (BLDCM) has many advantages. This paper first analyzes the work principle of BLDCM and the control methods of the fuzzy PID, then designs a triple-loop controller based on the fuzzy PID BLDCM, finally makes a comparison of the traditional PID method and this new method. The experiment result shows that the result of the PID controller based on the BLDCM is much better than the traditional PID controller, the BLDCM improves the performance both on the step response of the position and the sinusoidal steady state response.

scholarly journals PD CONTROLLER BASED UNMANNED SHIP NAVIGATION

2017 ◽  
Vol 5 (4RACEEE) ◽  
pp. 147-154
Author(s):  
Adinath Jain ◽  
Hari Prasad ◽  
Sujata Dahal ◽  
Rajesh Sudi
Keyword(s):  
Computation Time ◽  
Open Loop ◽  
Trajectory Control ◽  
Pid Controllers ◽  
Control Algorithms ◽  
Adaptive Controllers ◽  
Wave Disturbances ◽  
Unmanned Ship ◽  
Standard Models ◽  
Predictive Controllers

For the improvement of the performance of track keeping of unmanned water vehicle numerous ship models, wave disturbances models and distinct control algorithms has been proposed. Researchers are using variants of PID controllers, Adaptive controllers and Predictive controllers for accurate trajectory control. Being simpler in nature still PID controller are popular in control domain. In this paper we have implemented PD based controller for trajectory control of unmanned vehicle considering all standard models of sea disturbances. Analysis of result obtained using PD control proved that path tracking is more accurate than open loop controller in terms of computation time, complexity and fuel consumption.

scholarly journals Design and Implementation of Cascade LQR Controller for Stabilization of Two-Wheeled Robot

2016 ◽  
Vol 14 (1) ◽  
pp. 35-47
Author(s):  
Ts. Slavov ◽  
J. Kralev ◽  
P. Petkov
Keyword(s):  
System Performance ◽  
Pid Controller ◽  
Digital Signal ◽  
Vertical Axis ◽  
Pi Controller ◽  
Upright Position ◽  
Pid Controllers ◽  
Design And Implementation ◽  
Wheeled Robot ◽  
Lqr Controller

Abstract In this paper the developed two-wheeled robot and cascade LQR controller, Kalman filters, PI and PID controllers are presented. The cascade LQR controller stabilizes the two-wheeled robot in upright position. The PID controller ensures good tracking of wheel position reference and the PI controller steers two-wheeled robot rotation around the vertical axis. A software in MATLAB®/Simulink environment intended for design and generation of control code which is embedded in a Texas Instruments Digital Signal Controller is developed. Simulation and experimental results of system performance are given that confirm the efficiency of the control system developed.

scholarly journals Vibration Equation of Fractional Order Describing Viscoelasticity and Viscous Inertia

Open Physics ◽  
2019 ◽  
Vol 17 (1) ◽  
pp. 850-856 ◽  
Author(s):  
Jun-Sheng Duan ◽  
Yun-Yun Xu
Keyword(s):  
Fractional Derivative ◽  
Fractional Order ◽  
Fractional Derivatives ◽  
Harmonic Excitation ◽  
Steady State Response ◽  
Vibration System ◽  
Derivative Operator ◽  
Vibration Equation ◽  
State Response ◽  
Frequency Relation

Abstract The steady state response of a fractional order vibration system subject to harmonic excitation was studied by using the fractional derivative operator ${}_{-\infty} D_t^\beta,$where the order β is a real number satisfying 0 ≤ β ≤ 2. We derived that the fractional derivative contributes to the viscoelasticity if 0 < β < 1, while it contributes to the viscous inertia if 1 < β < 2. Thus the fractional derivative can represent the “spring-pot” element and also the “inerterpot” element proposed in the present article. The viscosity contribution coefficient, elasticity contribution coefficient, inertia contribution coefficient, amplitude-frequency relation, phase-frequency relation, and influence of the order are discussed in detail. The results show that fractional derivatives are applicable for characterizing the viscoelasticity and viscous inertia of materials.

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