Non-parametric identification techniques for intelligent pneumatic actuator

The aim of this paper is to present experimental, empirical and analytic identification techniques, known as non-parametric techniques. Poor dynamics and high nonlinearities are parts of the difficulties in the control of pneumatic actuator functions, which make the identification technique very challenging. Firstly, the step response experimental data is collected to obtain real-time force model of the intelligent pneumatic actuator (IPA). The IPA plant and Personal Computer (PC) communicate through Data Acquisition (DAQ) card over MATLAB software. The second method is approximating the process by curve reaction of a first-order plus delay process, and the third method uses the equivalent n order process with PTn model parameters. The obtained results have been compared with the previous study, achieved based on force system identification of IPA obtained by the (Auto-Regressive model with eXogenous) ARX model. The models developed using non-parameters identification techniques have good responses and their responses are close to the model identified using the ARX system identification model. The controller approved the success of the identification technique with good performance. This means the Non-Parametric techniques are strongly recommended, suitable, and feasible to use to analyze and design the force controller of IPA system. The techniques are thus very suitable to identify the real IPA plant and achieve widespread industrial acceptance

Mathematical modeling of industrial heat exchanger system

In manufacturing and industrial fields used heat exchanger to control of temperature weather as a boiler or cooling system. This system is not stable as the temperature output can easily disturb by noise and other disturbance such as surrounding temperature. To improve the heat exchanger system performance, the mathematical model‘s needed. The heat exchanger mathematical model in this case is constructed using dynamic modelling based on real parameters of the heat exchanger. The simulation result shows almost similar trend of responses with the experiment result, it means they are can used as a model of the heat exchanger

Development Of Predictive Control Strategy Using Self-Identification Matrix Technique (SMT)

This article describes an easy to use predictive control strategy using selfi-dentification matrix technique (SMT). A description for the condition number effect for suitable tracking behaviour has been analyzed. Simple rules based on the step response of the process are applied for the proposed matrix W-SMT. A new formula is produced for the main controller tuning parameter lambda(rho alpha). In the novel formula, lambda(rho alpha) is mainly extracted by regression analysis of first order plus dead time processes. Several plants are used to compare the proposed controller as function of the tuning parameters and tuning strategy. The effectiveness of the proposed strategy in wide ranging plants parameters has been compared with other techniques. Simulation results show that the use of the proposed strategy results in superior performance compared to previous techniques. Even though the tuning is based on approximation of actual processes with a first order plus dead time model. However, this strategy would not be suitable for systems with strong nonlinearities

A systematic approach for evaluating the accuracy of overhead line fault location using the traveling wave method

In the power system, the high-voltage transmission lines are responsible for transmitting large amounts of energy from one location to another. However, this feature is not always possible because of different defects that may occur on these lines. Therefore, power suppliers must provide exact defective locations where maintenance lines can accelerate, system reliability improved, and unnecessary operating expenses eliminated. In this paper, the traveling wave technique based on wavelet transform proposes to find the exact location assist with voltages and currents signal at the single and multi-end of the transmission line. The techniques simulated using PSCAD / EMTDC software based on a single-phase to ground fault and tested on the sample system. A compendium of the results has shown that the multi-end technique is more accurate than the single-end technique