Computational complexity and time-consuming iteration of simulation for tuning of Proportional-Integral-Derivative (PID) controller is a common drawback in many types of existing methods. This paper aims to propose a new method for achieving an optimal design for PID gains parameters with the least number of simulation runs. To achieve this purpose, we combine polynomial regression and Latin Hypercube Sampling (LHS) in order to Design and Analyze of COMPUTER EXPERIMENTS (DACE). In this method, the LHS is performed three times to design the associated sample points for different usage that includes training sample points to fit polynomial regression as a common surrogate model; validating sample points to scale standardized residuals; grid search sample points for investigating optimal point over whole design space. To show the flexibility and applicability of the proposed method, we serve a numerical case in the tuning of PID controller for linear speed control of Direct Current (DC) motor. Four different polynomial regression fit input/output (I/O) data over separately four model’ s performances that includes Integral-Square-Error (ISE), Integral-Absolute-Error (IAE), Integral-Time-Square-Error (ITSE), and Integral-Time-Absolute-Error (ITAE). Comparison of the result with two existing approaches such as traditional Zeigler-Nichols method and Taguchi-Gray Relational Analysis (Taguchi-GRA) confirms the reliability and superiority of the proposed method.

The application of a flight simulator with six Degree of Freedom (6DOF) in design and analysis of rocket systems is essential. The calibration of a 6DOF flight simulator is a challenging problem. This paper focuses on the calibration of a flight simulator and intends to answer the following questions:1) Does experimental design have significant impact on calibration quality? If so, which experimental design is suitable for calibration of a flight simulator?2) How to determine the suitable number of runs for calibration?3) Could DOE be used for estimation of calibration parameters? If so, how is it applied?The EXPERIMENTS have been conducted using a 6DOF simulator. Our investigation shows that the experimental design has significant impact on the quality of calibration. The suitable design for calibration of the 6DOF simulator is the triangular design. A new method for determining the number of runs is proposed based on entropy function. It is also used for estimation of the calibration parameters. One advantage of the proposed method is the calibration of 6DOF simulator by considering several criteria such as range error, azimuth error and combination of these errors. The quality of calibration has been investigated by hypothesis testing.

The 1st Joint (Host Laboratory) Experiment on “Joint Research Using Small Tokamaks” has been carried out using the IPP Prague experimental facility "CASTOR Tokamak". The main experimental programme was aimed to characterize the edge plasma in a tokamak by using different advanced diagnostic techniques. It is widely recognized that characterization of phenomena occurring at the plasma edge is essential for understanding of the plasma confinement in a tokamak. The edge plasma in small and large scale EXPERIMENTS has many similar features, and the results obtained through detailed measurements in a small flexible device such as CASTOR are in many aspects still relevant to those in large tokamaks. Therefore, it is expected that results of this joint experiment will have a general validity.