A novel method to find the orientation and position of a triaxial accelerometer mounted on a six degrees-of-freedom industrial robot is proposed and evaluated on experimental data. The method consists of two consecutive steps, where the first is to estimate the orientation of the accelerometer from static experiments. In the second step the accelerometer position relative to the robot base is i...

Over recent years, the model-based parameter tuning of computational systems has become an emergent research topic. When the considered systems are subject of stochastic effects, the parameter tuning can be seen as a noisy optimization task, as often faced in production engineering. In this paper, the current research on parameter optimization is discussed based on experiences from an engineeri...

Constrained optimal control can be remarkably challenging to control. In this paper, optimization based approach for constrained optimal control of the integrating process is investigated through inventory control from using of the PI controller in the servo problem. The Lagrangian multiplier method is applied to find the PI parameters by solving the constrained optimal problem. The developed m...

The aim of this paper is to present a methodology for optimizing the operation of compressors in parallel in process industries. Compressors in parallel can be found in many applications for example in compressor stations conveying gas through long pipelines and in chemical plants in which compressors supply raw or processed materials to downstream processes. The current work presents an optimi...

With the widespread availability of model predictive control (MPC), nonlinear MPC provides a natural extension to include nonlinear models for trajectory tracking and dynamic optimization. NMPC can include first principle models developed for off-line dynamic studies as well as nonlinear data-driven models, but requires the application of efficient large-scale optimization strategies to avoid c...

Over recent years, the model-based parameter tuning of computational systems has become an emergent research topic. When the considered systems are subject of stochastic effects, the parameter tuning can be seen as a noisy optimization task, as often faced in production engineering. In this paper, the current research on parameter optimization is discussed based on experiences from an engineeri...

Since tubes are widely used for different industrial applications, processing of tubes by the Severe Plastic Deformation (SPD) method has been the target of different attempts. Among these attempts, development of SPD processes for tubes based on Equal Channel Angular Pressing (ECAP) has been more successful. As an illustration, Tube Channel Pressing (TCP) has been presented as an attractive SP...

Measurement of level, temperature, pressure and flow parameters are very vital in all process industries. The model for such a real time process is identified and validated .Real time industrial processes are subjected to variation in parameters and parameter perturbations, which when significant makes the system unstable. Determination or tuning of the PID parameters continues to be important ...

Development of an environmental friendly and cost-effective process for microbial degradation of caffeine to non-toxic compounds are promising to solve the problems of physiochemical extraction of caffeine in the treatment the caffeine containing agro-industrial effluents. Thirteen bacterial strains, isolated from tea plantation soils in the north region of Iran, were screened to show their abi...