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Aiming at the characteristics such as multivariable, strong coupling, nonlinear and time-varying parameters for the coordinated control system of unit power plant, a single-nerve cell network combined with PID control method was presented. A modified mutative scale chaotic optimization algorithm was proposed for the use of tuning the weight parameters of neural network and PID parameters. The new...
The use of distributed generators (DGs), especially renewables like wind and solar photovoltaics, depends upon inverter technology to provide compatibility between multiple DGs on a local bus. It is becoming more common to group dissimilar DGs together to form microgrids, and desirable to allow DGs to be connected or disconnected without detrimental effects upon the stability of the microgrid. This...
With the development of humanoid robots, lightweight construction and energy efficiency play an important role as these mobile, dynamic systems have to work self-sufficiently. The application of computer-aided (CAE) methods in the development process is one possibility to achieve the required weight reduction. On the basis of a classical topology optimization carried out on the robot ARMAR III, an...
Complicated control systems are used in many safety-critical applications, such as in cars and airplanes. Due to the nature of these systems, verification can be very difficult to do analytically or algorithmically. The only feasible analysis and verification method is often simulation. The generation of good test cases that can expose flaws in the controller design is therefore of great importance...
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