Abstract Intuition is one of the characteristics of entrepreneurs and an important factor in the decision-making processes of entrepreneurs. In recent years, at the same time as the development of entrepreneurship as an interdisciplinary science, intuition and providing different definitions of it have not been noticed by researchers and researchers in this field, and many researches have not been written in this field. This is despite the fact that in other fields of humanities, especially management (with which entrepreneurship is closely related), basic sciences and even medical sciences, there is a suitable background and theoretical literature about this. On the other hand, it seems that the theoretical and epistemological foundations of this concept have not been researched as much as necessary in the few researches that have been conducted, and very little research has been done in this field. In this article, firstly, the definitions and researches about intuition are reviewed, and secondly, the little researches that have been done in entrepreneurship and its relationship with other sciences are discussed.

Fast and accurate transient response is the main requirement in electric machine Position control. Conventional cascade control structure has sluggish response due to the limitation of inner control loop bandwidth. In this paper, in order to decrease the Permanent Magnet Synchronous Motor (PMSM) transient response time it can be used reference model using feed-forward signals. In this structure, feed-forward signals generated by simplified model of permanent magnet synchronous motor. In this paper, feed-forward signals generated are emplyed in model predictive control; which are combined with conventional cascade control structure. Using this approach, a fast transient response and satisfactory tracking ability will be guaranteed. The proposed method is compared with the model reference method and conventional cascade structure. Simulation results showed a good performance of proposed method related to both methods. Verification of simulation results were carried out by experimental results.

A common method for controlling a group of parallel converters in decentralized control strategy structure in an island microgrid, the use is the droop-down characteristics of frequency ω-P and voltage E-Q. However, the problem with using this method is that the reactive power is not properly distributed (in proportion to the capacity of the micronutrients) between the micronutrients, which may lead to overload in the converters. Microgrids may also suffer from dynamic stability problems such as power fluctuations, which can be increased by switching between active and reactive power control. To avoid this problem, the X / R ratio of transmission lines is an important parameter that should be carefully considered in the design of micronutrient controllers. By linearizing and simplifying conditions, the control system conversion function model becomes a single input-single output system, which is efficient enough to show the relationship between control parameters such as slope of droop characteristics and derivative sentences, virtual impedance, and voltage controllers. Using this model, stability conditions for different parameters are analyzed. Also, to improve power distribution stability, common droop strategies are modified by adjusting the slope as well as adding nonlinear sentence sections. This approach reduces the coupling between active and reactive power control and reduces the dependence of power distribution on grid parameters such as the X / R ratio. To evaluate the reliability of the proposed model, the simulation results in a sample island microgrid in MATLAB software are presented.

Under a constant loading condition, use of a controller with constant coefficients can be acceptable for servo pneumatic systems. However, in variable loads with widespread changes, more advanced control methods should be considered to achieve desirable performance. In this paper, an adaptive controller is designed and implemented to a variably loaded servo pneumatic system with PWM driven switching valve. In the experimental setup, a pneumatic circuit is used which consists of one PWM driven fast switching valve instead of an expensive servo or proportional valve. In the designed adaptive controller, real time identification of system parameters is performed using input-output data and controller parameters are adjusted instantaneously. “Self-tuning regulators” algorithm in which the desired closed loop poles and zeroes are predefined, is applied to design the proposed controller. The designed controller is applied to the pneumatic actuator via an interface board and its results are compared to results of a PD and a multi model controller. Unlike the proposed method which varies the control parameters continuously according to load variations, in multi-model method the control law is selected among a number of fixed controllers. Experimental results demonstrate the high performance of the adaptive controller under variable loads.

In this paper, two Position controllers have been developed for a double-acting pneumatic cylinder with two 3/2 on/off solenoid valves, using PWM method. The first one is a PID controller, whose gains have been obtained by Zighler-Nicoltz method. The second one - a Sliding Mode controller (SMC) - has been designed based on a specific mathematical model, where an appropriate PWM method has been applied to overcome non-linearity’s such as time delay, during opening or closing of valves, and dead band due to station. The results of experimental tests on the closed loop system with the PID controller illustrate that the PWM method is suitable for servo control purposes with high accuracy. Furthermore, high accuracy was also achieved in experimental results in response to step inputs. Small values of maximum and Root Mean Square (RMS) Positioning errors in response to sinusoidal inputs with various frequencies show better accuracy of SMC controller in comparison with the PID one. Good performance of the developed SMC is even more evident as frequency increases. These results also show considerable improvements in accuracy in comparison with the results of previous works on costly proportional valves.

In spite of improvement of the AC drive systems still the DC drives are widely used in industry. One of the problems associated with control of DC motor which might cause unsuccessful attempts for designing a proper controller would be the time-varying nature of DC motors parameters and variables which might be changed while working with the motion systems. In these conditions, the control systems will not response properly. One of the best suggested solutions to overcome this problem would be the use of sliding mode control (SMC). SMC is not sensitive to parameters changes and yet would have a fair response to the systems variations. However, SMC suffers from some deficiencies including inflexibility in controller parameters. A Better response can be achieved by SMC in compare with classical methods but it is not the most optimized response. The fair solution can be defined through faster fulfillment of target, less overshoot and more consistency of the system against the changes of the parameters. In this paper, a new fuzzy based method is presented to increase the SMC ability to reach a more convenient solution. Optimized response can be achieved in terms of shorter settling time, less overshoot, and more stability.