per
Iranian Society of Instrumentation and Control Engineers
Journal of Control
2008-8345
2538-3752
2013-06
7
1
1
12
article
Adaptive Sliding Mode Controller Design for Cruise Control of High Speed Trains
Mohammadreza Faieghi
mfaieghi@uwo.ca
1
Ali Akbar Jalali
drjalali@iust.ac.ir
2
Seyed Kamal-e-ddin Mousavi Mashhadi
sk_mousavi@iust.ac.ir
3
Seyed Ali Zahiripour
zahiri@elec.iust.ac.ir
4
This paper studies application of sliding mode control for cruise control of high speed trains in the presence of parametric uncertainties and external disturbances. First, a state feedback sliding mode control law is designed to drive the tracking error to a positively invariant set which is arbitrarily bounded and contains the origin. It is shown that under suitable conditions, command tracking and disturbance rejection could be achieved simultaneously. Then, an adaptive mechanism is derived for switching gains to make the controller robust against perturbations with unknown upper bounds. In order to reduce chattering, a modified controller is proposed achieving output tracking, but with smooth control effort. The design is performed for both Distributed Driving (DD) and Push-Pull Deriving (PPD) trains. Both designs are compared through numerical simulations.
http://joc.kntu.ac.ir/article-1-27-en.pdf
high speed train
sliding mode control
adaptation law
parametric uncertainties
per
Iranian Society of Instrumentation and Control Engineers
Journal of Control
2008-8345
2538-3752
2013-06
7
1
13
19
article
Design of Robust Optimal Controller for Hybrid Electric Vehicle by using Road Information
Ali Akbar Jalali
drjalali@iust.ac.ir
1
Seyed Ali Zahiripour
zahiri@elec.iust.ac.ir
2
Ehsan Saedi Roodi
e.saedi90@gmail.com
3
This article is introducing an engine on – off method for fuel optimization in hybrid electric vehicle's base on the road information. Simplicity, robustness and engine efficiency are advantages of this method. Based on the road information, the method calculates the balance point for electrical energy in energy storage system. This point is used for decision to engine operation. A major drawback with the proposed method is possibility of rapid engine on / off operation. By temporary changing the balance point to balance band, this drawback will be partly removed. Also the proposed method is enhanced by weighting the information and recalculating the balance point in the mission. The enhanced method is robust for large amount of error.
http://joc.kntu.ac.ir/article-1-28-en.pdf
road information
engine on-off method
balance point
per
Iranian Society of Instrumentation and Control Engineers
Journal of Control
2008-8345
2538-3752
2013-06
7
1
21
32
article
An Optimal Approach to Nonlinear Control of Vehicle Braking System during Severe Braking and Turning
Hossein Mirzaeinejad
h_mirzaeinejad@sut.ac.ir
1
Mahdi Mirzaei
mirzaei@sut.ac.ir
2
Severe braking during turning is one of the vehicle critical maneuvers. In this case, achieving the minimum stopping distance while maintaining the vehicle steerability is important. The conventional anti-lock braking system attains the minimum stopping distance by generating the maximum braking forcesbut, cannot control the vehicle steerability directly. In this paper, in order to direct control of vehicle longitudinal and lateral dynamics, an optimal nonlinear algorithm based on the prediction of system responses is presented to distribute the wheels braking forces properly. In this algorithm, the maximum braking forces of one side wheels are reduced to the extent that the required stabilizing yaw moment is produced. In this way, a compromise between the stopping distance and vehicle steerability can be easily made by the regulation of weighting ratio, as a free parameter of the yaw moment control law. In the special case, when the external yaw moment takes to be zero(expensive control), this algorithm is changed to the conventional anti-lock braking system. With any increase of the external yaw moment, the stopping distance is increased but the vehicle steerability is improved. The simulation results performed by an 8-DOF vehicle model show a suitable and robust performance of the proposed control system.
http://joc.kntu.ac.ir/article-1-29-en.pdf
dynamics
Nonlinear control
Optimalalgorithm
Severe braking
Stopping distance
Steerability.
per
Iranian Society of Instrumentation and Control Engineers
Journal of Control
2008-8345
2538-3752
2013-06
7
1
33
42
article
Transmission Network Observability by Joint Optimal Placement of PMUs and Conventional Measurements via Probabilistic Modeling of Uncertainties through Multi-Objective Genetic Algorithm
Seyed Mahdi Mazhari
mazhari@aut.ac.ir
1
Alireza Fereidunian
fereidunian@eetd.kntu.ac.ir
2
Hamid Lesani
lesani@ut.ac.ir
3
This paper presents a new approach for phasor measurement units (PMUs) placement within transmission networks considering risk of observability. To such aim, probabilistic effects of uncertainties imposed to the transmission networks are modeled via Monte-Carlo simulations. Then, risk of observability is introduced as a new objective function and applied to the PMU placement problem. The proposed objective function accompanied by the prevalent cost function leads the transmission network to face with different reliability and observability levels based on its operation point of view. Detailed numerical results and comparisons presented in the paper show that the proposed approach could noticeably improve the quality of problem solutions and can be used as an effective tool for PMU placement within real-life networks.
http://joc.kntu.ac.ir/article-1-30-en.pdf
Phasor measurement unit (PMU)
Power system observability
Uncertainties
Monte-Carlo simulation
Optimal Placement.
per
Iranian Society of Instrumentation and Control Engineers
Journal of Control
2008-8345
2538-3752
2013-06
7
1
43
51
article
Miss Distance Analysis of Proportional Navigation Strategy with Acceleration and Body Rate Feedback using Adjoint Method
Seyed Hamid Jalali Naini
shjalalinaini@modares.ac.ir
1
This paper presents analytical solution of miss distance of a proportional navigation (PN) modified with body rate and lateral acceleration feedback using adjoint method in the presence of radome effect and seeker noise. The control system dynamics is modeled by a first-order transfer function. Therefore, the transfer function from line-of-sight rate to lateral acceleration is derived as a first-order transfer function, for which the equivalent time constant and gain are obtained in terms of radome slope and guidance coefficients. Consequently, the miss distance relations due to radome slope and seeker noise are obtained in terms of the radome slope and the acceleration and its rate feedback. The resulting relations are verified using statistical analysis. Moreover, the guidance law coefficients are designed as variables to enhance the PN performance, thereby increasing the stability region and reducing the miss distance.
http://joc.kntu.ac.ir/article-1-32-en.pdf
Miss distance
radome effect
seeker noise
adjoint method.
per
Iranian Society of Instrumentation and Control Engineers
Journal of Control
2008-8345
2538-3752
2013-06
7
1
53
60
article
Modeling and Control of Actuator Position of Shape Memory Alloy using Type-2 Fuzzy Control System Optimized by BEES Algorithm
Mohsen Papari
Papari@iauahvaz.ac.ir
1
Afshin Ghanbarzade
Ghanbarzadeh.A@scu.ac.ir
2
Korosh Haidari Shirazi
K.shirazi@scu.ac.ir
3
In this paper, a shape memory alloy actuator was controlled by the type-2 Fuzzy Logic Controller optimized with bees Algorithm. At the beginning equations related to nonlinear behavior of a shape memory alloy actuator were simulated using Matlab/simulink software. Then in order to compare the performance of optimized type-2 fuzzy Logic controller with other controller, the position of the robot arm was controlled by two tuned with Bees Algorithm controllers, PID and Type-1 fuzzy logic controller. The simulation results show that optimized type-2 Fuzzy Logic Controller has better performance than the other controllers in determining the accurate position of robot arm.
http://joc.kntu.ac.ir/article-1-31-en.pdf
Shape memory alloy
Modeling
Type-2 fuzzy Control
BEES Algorithm