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To diagnose faults in automotive suspension systems a particle filters based approach was evaluated. The look-ahead Rao-Blackwell Particle Filter was tested to online monitor different oil leaks in a magneto-rheological shock absorber. The non-linear semi-active suspension was modelled through the Jump Markov Linear Gaussian framework. The feasibility of this approach has been analyzed in a simulation...
The precise variation of the magnetorheological (MR) damping force in a semi-active suspension is a key issue in order to assure the desired performances over a suspension control system. The open loop control of this force is a very common strategy. Other schemes propose adaptive controller alternatives while the automotive hardware is a constrained computation resource. This paper proposes the implementation...
An approach to find out the training inputs for identification of a Magneto-Rheological (MR) damper is proposed. Reduction of overuse of the damper, number of experiments and configurations of training inputs are main features of this approach. Experimental validation with a commercial MR damper was carried out.Main results show inputs configuration with modulated frequency at fixed amplitude displacement,...
Next-generation of High-Speed Machining (HSM) systems demand advanced features such as intelligent control under uncertainty. This requires, in turn, an efficient administration and optimization of all system's resources towards a previously identified objective. This work presents an optimization system based on Markov Decision Process (MDP), where an intelligent control guides the actions of the...
The aeronautic and automotive industries demand high quality products. Different aluminium alloys are used to produce them exploiting high speed machining (HSM) systems. HSM needs intelligent features such as monitoring and decision control. A framework that consists of four modules: data acquisition system, cutting tool monitoring, surface roughness prediction and intelligent planning module is presented...
Leaks on pipelines can cause strong economic losses and environmental problems if these are not detected on time. The problem of detecting leaks is even more complicated when the pipelines are too large, difficult to reach by maintenance personnel, and equipped with minimum instrumentation. A comparison of four fault diagnosis approaches based on Output Observers, Artificial Neural Networks, Particle...
Control engineering teaching at ITESM Campus Monterrey combines advanced didactic techniques, software systems and experimental equipment as instructional tools to achieve educational objectives. A course is designed with the purpose of helping the students to get deep knowledge of process control as well as team work and autonomous learning abilities. International guidelines for the course design...
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