14 research outputs found
Shortest Route at Dynamic Location with Node Combination-Dijkstra Algorithm
Abstract— Online transportation has become a basic
requirement of the general public in support of all activities to go
to work, school or vacation to the sights. Public transportation
services compete to provide the best service so that consumers
feel comfortable using the services offered, so that all activities
are noticed, one of them is the search for the shortest route in
picking the buyer or delivering to the destination. Node
Combination method can minimize memory usage and this
methode is more optimal when compared to A* and Ant Colony
in the shortest route search like Dijkstra algorithm, but can’t
store the history node that has been passed. Therefore, using
node combination algorithm is very good in searching the
shortest distance is not the shortest route. This paper is
structured to modify the node combination algorithm to solve the
problem of finding the shortest route at the dynamic location
obtained from the transport fleet by displaying the nodes that
have the shortest distance and will be implemented in the
geographic information system in the form of map to facilitate
the use of the system.
Keywords— Shortest Path, Algorithm Dijkstra, Node
Combination, Dynamic Location (key words
Literature Review of PID Controller based on Various Soft Computing Techniques
This paper profound the various soft computing techniques like fuzzy logic, genetic algorithm, ant colony optimization, particle swarm optimization used in controlling the parameters of PID Controller. Its widespread use and universal acceptability is allocated to its elementary operating algorithm, the relative ease with the controller effects can be adjusted, the broad range of applications where it has truly developed excellent control performances, and the familiarity with which it is deduced among researchers. In spite of its wide spread use, one of its short-comings is that there is no efficient tuning method for PID controller. Given this background, the main objective of this is to develop a tuning methodology that would be universally applicable to a range of well-liked process that occurs in the process control industry
Multiobjective Optimization of PID Controller of PMSM
PID controller is used in most of the current-speed closed-loop control of permanent magnet synchronous motors (PMSM) servo system. However, Kp, Ki, and Kd of PID are difficult to tune due to the multiple objectives. In order to obtain the optimal PID parameters, we adopt a NSGA-II to optimize the PID parameters in this paper. According to the practical requirement, several objective functions are defined. NSGA-II can search the optimal parameters according to the objective functions with better robustness. This approach provides a more theoretical basis for the optimization of PID parameters than the aggregation function method. The simulation results indicate that the system is valid, and the NSGA-II can obtain the Pareto front of PID parameters
ADRC and Feedforward Hybrid Control System of PMSM
The permanent-magnet synchronous motor (PMSM) is a complex controlled object that is difficult to drive and control. In this study, the vector control strategy is adopted to drive the PMSM. The active disturbance rejection controller is used to achieve the closed-loop control of PMSM, which simplifies the computational complexity. A load torque observer and feedforward compensation component are designed to overcome the PMSM speed fluctuation of the load disturbance. An experimental system based on the DSP board is designed to test the controller performance. The results validate the control algorithm
State-Feedback Controller Based on Pole Placement Technique for Inverted Pendulum System
This paper presents a state space control technique for inverted pendulum system using simulation and real experiment via MATLAB/SIMULINK software. The inverted pendulum is difficult system to control in the field of control engineering. It is also one of the most important classical control system problems because of its nonlinear characteristics and unstable system. It has three main problems that always appear in control application which are nonlinear system, unstable and non-minimumbehavior
phase system. This project will apply state feedback controller based on pole placement technique which is capable in stabilizing the practical based inverted pendulum at vertical position. Desired design specifications which are 4 seconds settling time and 5 % overshoot is needed to apply in full state feedback controller based on pole placement technique. First of all, the mathematical model of an inverted pendulum system is derived to obtain the state space representation of the system. Then, the design phase of the State-Feedback Controller can be conducted after linearization technique is
performed to the nonlinear equation with the aid of mathematical aided software such as Mathcad. After that, the design is simulated using MATLAB/Simulink software. The controller design of the inverted pendulum system is verified using simulation and experiment test. Finally the controller design is compared with PID controller for benchmarking purpose
Real-Time Optimal Control Technique of A Rotary Inverted Pendulum System
This paper presents a real time control technique to stabilize inverted pendulum in the vertical upright
position. Stabilize the inverted pendulum is a classical control problem that could be related to some
problems in industrial applications. Two common problems that always been encountered by inverted
pendulum system is unstable behavior and nonlinear. This lead to numerous studies on the control
algorithm to balance the inverted pendulum system in the vertical upright position. Generally, inverted
pendulum is mounted on DC motor and is equipped with sensor to measure angular displacement.
Inverted pendulum has the same analogy with human that try to balance a broomstick using fingertip.
Balancing the Inverted Pendulum requires a good control system. Therefore an optimal control
technique is proposed to achieve desired design requirement which are less than 5% overshoot and
less than 5 seconds settling time. The controller is optimized to achieve the best performance result.
Finally the performance of the controller is compared with PID controller as a benchmark
A SIMULATION STUDY OF STATE-FEEDBACK CONTROL METHOD FOR ELECTRO HYDRAULIC SERVO MODEL
Electro hydraulic servo system is used by many industries due to its ability to impart large forces.
It also has advantage in term of fast response and robustness. The electro hydraulic system suffered
from errors of the transient response which are steady state error, settling time and the ripples. It
is crucial to design a controller for the system to ensure the reliability of the system. Aiming at the
characteristic of the system, steady state feedback control method is designed to compensate the
error. The analysis of the system is done based on the transient response specifically on the actuator
part. MATLAB Simulink is used as the simulation software to evaluate the force performance of
state feedback controller method. The steady state error, settling time and ripple are observed and
recorded for each controller. Three methods is applied, which are full feedback, state feedback with
feed forward and integral control are compared with proportional, integral and derivatives (PID)
controller. The result of each controller shows the differences performance. Based on the simulation
results, the feedforward technique is found to be the best control technique for the electro hydraulic
servo system due to the requirement performance such as percent overshoot, settling time, rise time
and zero steady state error. This good result will directly benefit industries that use electro hydraulic
system as their actuator for production machines
OBSERVER-BASED-CONTROLLER FOR INVERTED PENDULUM MODEL
This paper presents a state space control technique for inverted pendulum system. The system is a common classical control problem that has been widely used to test multiple control algorithms because of its nonlinear and unstable behavior. Full state feedback based on pole placement and optimal control is applied to the inverted pendulum system to achieve desired design specification which are 4 seconds settling time and 5% overshoot. The simulation and optimization of the full state feedback controller based on pole placement and optimal control techniques as well as the performance comparison between these techniques is described comprehensively. The comparison is made to choose the most suitable technique for the system that have the best trade-off between settling time and overshoot. Besides that, the observer design is analyzed to see the effect of pole location and noise present in the system
A Review of Resonant Converter Control Techniques and The Performances
paper first discusses each control technique and then gives experimental results and/or performance to highlights their merits. The resonant converter used as a case study is not specified to just single topology instead it used few topologies such as series-parallel resonant converter (SPRC), LCC resonant converter and parallel resonant converter (PRC). On the other hand, the control techniques presented in this paper are self-sustained phase shift modulation (SSPSM) control, self-oscillating power factor
control, magnetic control and the H-∞ robust control technique