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JournalISSN: 2153-0653

Intelligent Control and Automation 

Scientific Research Publishing
About: Intelligent Control and Automation is an academic journal published by Scientific Research Publishing. The journal publishes majorly in the area(s): Control theory & Control system. It has an ISSN identifier of 2153-0653. It is also open access. Over the lifetime, 269 publications have been published receiving 2288 citations. The journal is also known as: ICA.


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Journal ArticleDOI
TL;DR: A new approach to control, stabilization and disturbance rejection of attitude subsystem of quadrotor is presented in this article, where SISO approach is implemented for control structure to achieve desired objectives, the performance of the designed control structure is evaluated through time domain factors such as overshoot, settling time and integral error index, and robustness.
Abstract: A new approach to control, stabilization and disturbance rejection of attitude subsystem of quadrotor is presented in this article. Analytical method is used to tune conventional structure of PID controller. SISO approach is implemented for control structure to achieve desired objectives. The performance of the designed control structure is evaluated through time domain factors such as overshoot, settling time and integral error index, and robustness. A comparison is done between designed controller and back-step controller applied to main model of quadrotor. The results of simulation show the effectiveness of designed control scheme.

191 citations

Journal ArticleDOI
TL;DR: The methods used in the design of ABS systems are reviewed, the main difficulties are highlighted and the more recent developments in their control techniques are summarized.
Abstract: Many different control methods for ABS systems have been developed. These methods differ in their theoretical basis and performance under the changes of road conditions. The present review is a part of research project entitled “Intelligent Antilock Brake System Design for Road-Surfaces of Saudi Arabia” In the present paper we review the methods used in the design of ABS systems. We highlight the main difficulties and summarize the more recent developments in their control techniques. Intelligent control systems like fuzzy control can be used in ABS control to emulate the qualitative aspects of human knowledge with several advantages such as robustness, universal approximation theorem and rule-based algorithms.

90 citations

Journal ArticleDOI
TL;DR: A Proportional Integral Derivative (PID) controller is designed and attached to electrohydraulic servo actuator system to control its angular position and the optimal values of the feedback gains can be obtained within 10 generations.
Abstract: Electrohydraulic servosystem have been used in industry in a wide number of applications. Its dynamics are highly nonlinear and also have large extent of model uncertainties and external disturbances. In order to increase the reliability, controllability and utilizing the superior speed of response achievable from electrohydraulic systems, further research is required to develop a control software has the ability of overcoming the problems of system nonlinearities. In This paper, a Proportional Integral Derivative (PID) controller is designed and attached to electrohydraulic servo actuator system to control its angular position. The PID parameters are optimized by the Genetic Algorithm (GA). The controller is verified on the state space model of servovalve attached to a rotary actuator by SIMULINK program. The appropriate specifications of the GA for the rotary position control of an actuator system are presented. It is found that the optimal values of the feedback gains can be obtained within 10 generations, which corresponds to about 200 experiments. A new fitness function was implemented to optimize the feedback gains and its efficiency was verified for control such nonlinear servosystem.

83 citations

Journal ArticleDOI
TL;DR: In this article, the authors derived a nonlinear stable adaptive control law for a four-Mecanum-wheeled robot considering mass eccentricity and friction uncertainty using the Lagrange's equation.
Abstract: The complete dynamics model of a four-Mecanum-wheeled robot considering mass eccentricity and friction uncertainty is derived using the Lagrange’s equation. Then based on the dynamics model, a nonlinear stable adaptive control law is derived using the backstepping method via Lyapunov stability theory. In order to compensate for the model uncertainty, a nonlinear damping term is included in the control law, and the parameter update law with σ-modification is considered for the uncertainty estimation. Computer simulations are conducted to illustrate the suggested control approach.

68 citations

Journal ArticleDOI
TL;DR: In this paper, a genetic algorithm is applied to search for the optimal parameters of the seat and vehicle suspension for a half-car vehicle model to reduce human body vibration (whole-body vibration).
Abstract: This paper presents an optimal vehicle and seat suspension design for a half-car vehicle model to reduce human-body vibration (whole-body vibration). A genetic algorithm is applied to search for the optimal parameters of the seat and vehicle suspension. The desired objective is proposed as the minimization of a multi-objective function formed by the combination of seat suspension working space (seat suspension deflection), head acceleration, and seat mass acceleration to achieve the best comfort of the driver. With the aid of Matlab/Simulink software, a simulation model is achieved. In solving this problem, the genetic algorithms have consistently found near-optimal solutions within specified parameters ranges for several independent runs. For validation, the solution obtained by GA was compared to the ones of the passive suspensions through sinusoidal excitation of the seat suspension system for the currently used suspension systems.

49 citations

Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
20232
20224
20212
20205
20199
201810