In this article we propose a new graphical method for modeling
sequential controllers using high-level colored Petri nets. We will
present how to build a sequential controller using this method and
analyze its state space. The results in this stud
y showed an
advantage of the controller designed by the new method compared
to which designed algebraically by ordinary Petri net in complex
systems. The new method simplify the sequential controller network
and increase the performance speed and improve the reliability.
The turbine control purpose is to achieve the maximum limit of wind power,
associated with reducing the mechanical loads. The current control techniques do not take
into consideration the dynamical side of wind and turbine, which leads to power los
s. To
improve the effectiveness of the
nonlinear controllers, we can derive the nonlinear feedback controllers for static and
dynamic conditions in order to reach the wind speed estimator. Then we can test the
controllers by a mathematical model applied on the wind turbine simulator, with
disturbances and noise. The results have shown important improvements in comparison
with the current used controllers.
Kouttina is one of the most proper areas in Syria for building wind energy conversion system. This system could be coupled with Syrian electrical grid without expensive cost because of nearing from the grid. But the permanent changes of wind speed wi
th no stable mode, cause different amplitude and frequency voltages differ from Syrian electrical grid amplitude and frequency.
The goal of this research is to design proper wind energy conversion system for Kouttina area and control it, therefore we always obtain constant amplitude and frequency voltages equal to those of Syrian electrical grid for any wind speed and load.
The proper wind turbine with its generator was chosen depending on parameters of probability mathematic function, called Wiebull Function. After that the proper control system was designed for equaling the amplitude and frequency of wind energy conversion system output with those of Syrian electrical grid. The buck -boost converter was controlled by proportional integral (PI) controller to always have DC output voltage equal to (622V). While the inverter controller was achieved by using two PI control loops, the outer loop for voltage control and the inner loop for current control. Though, three phase voltage with RMS phaser value of (220V) and frequency value of (50Hz) is achieved.
To validated the correctness and effectiveness of the proposed system, it was modeled using MATLAB program. The results showed the system ability of obtaining voltage with constant amplitude and frequency and this values do not change with wind speed or load changes.
The goal of this study is to model human body correctly, according to the principles and the standards
used to calculate the humanoid parameters. The model is built by using VN software and then it was
implemented in Matlab Simulink, in order to bu
ild a control system for simulating the humanoid balance
during standing. Precise and robust balance was reached by using PID controller with parameters
optimized by using genetic algorithm (GA). The control performance was tested by applying external
disturbance to the humanoid, the results show that the humanoid can retrieve its balance effectively.
في هذه الورقة نشرح طریقة استخدام المعلومات الناتجة عن الخبرة و ذات التحدید
اللغوي بدلاً من المعادلات الریاضية الدقيقة و غير المرنة عند التطبيق.
كما نجري مقارنة بين المتحكم التقليدي (D.I.P) و متحكم آخر یعتمد على نظام المنطق
الملتبس باستخدام برنامج محاكاة .
