Entity

Time filter

Source Type


Haris S.M.,National University of Malaysia | Aboud W.S.,National University of Malaysia | Aboud W.S.,Institute of Technology Baghdad
Proceedings of the SICE Annual Conference | Year: 2013

Difficulties in vehicle suspension design arise from conflicting performance requirements, widely varying operating mode dynamics and uncertainties in the system model. To overcome these problems, in this work, a weighted multiple model adaptive control scheme is proposed for a mechatronic active suspension system. Candidate controllers corresponding to four operating mode conditions were optimally designed a priori. A multicontroller generates a control input made up of the sum of weighted values of all candidate controllers. The control system was designed within the framework of Adaptive Mixing Control, for which some stability criteria have been established. Simulation tests showed that the system produces significantly improved performance compared to passive suspension systems. Source


Abullah Z.T.,Wuhan University of Technology | Abullah Z.T.,Institute of Technology Baghdad | Guo S.S.,Wuhan University of Technology | Yun S.B.,Wuhan University of Technology
IOP Conference Series: Materials Science and Engineering | Year: 2015

End-of-life scrap steel such as vehicles bulks and bodies, steel wheel and shells are easily land filled at the end-of-life when treated in a developing country with non-industrial infrastructure. Research idea is about composite shape steel remanufacturing to be sheet steel for construction application through nested recovered pieces of scrap steel within new sheet steel base to meet innovation value creation of remanufactured steel and innovation eco-design of steel products to close supply chain through linkage developed and developing countries of non-industrial infrastructure economy. That can be satisfied through comprehensive business- education-training model conduction firstly at the developing countries to reduce costs and change the intensive labour remanufacturing paradigm collaboratively. Sustainable remanufacturing business model can be applied based on infrastructure of educational institutions such as institutes of technology to adopt environmental, economic, and social developments as triple bottom line sustainability. Such innovation value creation is driven by eco-design and eco-innovation enabling where the meet to deliver human development, employment, and education conscious environment and bench mark recommendations of development directions for upgrading to apply business that allows eco-societies to emerge, through cooperative steel scrap processing. © Published under licence by IOP Publishing Ltd. Source


Aboud W.S.,National University of Malaysia | Aboud W.S.,Institute of Technology Baghdad | Haris S.M.,National University of Malaysia | Yaacob Y.,National University of Malaysia
Journal of Zhejiang University: Science C | Year: 2014

The suspension system is a key element in motor vehicles. Advancements in electronics and microprocessor technology have led to the realization of mechatronic suspensions. Since its introduction in some production motorcars in the 1980s, it has remained an area which sees active research and development, and this will likely continue for many years to come. With the aim of identifying current trends and future focus areas, this paper presents a review on the state-of-the-art of mechatronic suspensions. First, some commonly used classifications of mechatronic suspensions are presented. This is followed by a discussion on some of the actuating mechanisms used to provide control action. A survey is then reported on the many types of control approaches, including look-ahead preview, predictive, fuzzy logic, proportional-integral-derivative (PID), optimal, robust, adaptive, robust adaptive, and switching control. In conclusion, hydraulic actuators are most commonly used, but they impose high power requirements, limiting practical realizations of active suspensions. Electromagnetic actuators are seen to hold the promise of lower power requirements, and rigorous research and development should be conducted to make them commercially usable. Current focus on control methods that are robust to suspension parameter variations also seems to produce limited performance improvements, and future control approaches should be adaptive to the changeable driving conditions. © 2014, Journal of Zhejiang University Science Editorial Office and Springer-Verlag Berlin Heidelberg. Source


Al Gizi A.J.H.,University of Technology Malaysia | Al Gizi A.J.H.,Institute of Technology Baghdad | Mustafa M.W.,University of Technology Malaysia | Al-geelani N.A.,University of Technology Malaysia | Alsaedi M.A.,University of Technology Malaysia
Applied Soft Computing Journal | Year: 2015

We report a novel design method for determining the optimal proportional-integral-derivative (PID) controller parameters of an automatic voltage regulator (AVR) system, using a combined genetic algorithm (GA), radial basis function neural network (RBF-NN) and Sugeno fuzzy logic approaches. GA and a RBF-NN with a Sugeno fuzzy logic are proposed to design a PID controller for an AVR system (GNFPID). The problem for obtaining the optimal AVR and PID controller parameters is formulated as an optimization problem and RBF-NN tuned by GA is applied to solve the optimization problem. Whereas, optimal PID gains obtained by the proposed RBF tuning by genetic algorithm for various operating conditions are used to develop the rule base of the Sugeno fuzzy system and design fuzzy PID controller of the AVR system to improve the system's response (∼0.005 s). The proposed approach has superior features, including easy implementation, stable convergence characteristic, good computational efficiency and this algorithm effectively searches for a high-quality solution and improve the transient response of the AVR system (7E-06). Numerical simulation results demonstrate that this is faster and has much less computational cost as compared with the real-code genetic algorithm (RGA) and Sugeno fuzzy logic. The proposed method is indeed more efficient and robust in improving the step response of an AVR system. © 2014 Elsevier B.V. All rights reserved. Source


Aboud W.S.,National University of Malaysia | Haris S.M.,National University of Malaysia | Yaacob Y.,Institute of Technology Baghdad
ICIC Express Letters | Year: 2014

Difficulties in vehicle suspension design arise from conflicting performance requirements, widely varying operating mode dynamics and uncertainties in the system model. To overcome these problems, in this work, a weighted multiple model adaptive control scheme is proposed for a mechatronic suspension system. Proportional-Integral- Derivative (PID) Candidate controllers corresponding to four operating mode conditions were optimally designed a priori. A multicontroller generates a control input made up of the sum of weighted values of all candidate controllers. The control system was designed within the framework of Adaptive Mixing Control, for which some stability criteria have been established. Simulation tests showed that the system produces significantly improved performance compared with passive suspension systems. © 2014 ICIC International. Source

Discover hidden collaborations