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Fixed gain controllers for automatic generation control are designed at nominal operating conditions and fail to provide best control performance over a wide range of operating conditions.
In the proposed method, since two pendulums are treated as separate single pendulum and controllers using energy-based control are designed for each pendulum, this method is applicable to both of swing-up control problems of serial and parallel double inverted pendulums, whereas so far those problems have been treated as completely different control problems.
Two sliding-mode controllers, one using pulse width modulation, and the other switching control, are designed and tested.
In this paper two types of controller, sliding mode control (SMC) and linear quadratic regulator (LQR) control, are designed based on nonlinear and linearized system dynamics, respectively.
The fuzzy rules based on desired characteristics of closed-loop control are designed to finely tune the PID gains of the controller under different operating conditions.
Two adaptive control laws for pitch angle control are designed and experimentally tested.
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Furthermore, the power control is designed on perflow, perhop basis.
Most traction control is designed to stop wheelspin while the car is moving (preventing skids).
Then the state feedback control was designed to eliminate the unexpected singularity-induced bifurcation.
In accordance with the theoretical analysis, a wind tunnel test model for semi-active flutter control is designed.
Next, a robust control is designed using the µ synthesis.
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CEO of Professional Science Editing for Scientists @ prosciediting.com