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Results indicate that existing staged ventilation control systems which utilize microprocessors could realize significantly enhanced control flexibility by a simple software modification to incorporate the fuzzy staged controller method.
This paper presents the development of the prototype controller, method and result of the experimental testing.
In the present paper, we used both the dynamic controller method and variable-speed scanning to obtain the topographic image of the sample surface.
The proposed centralized/decentralized controller method is based on Bellman Lyapunovequation, guaranteed cost, and parameter-dependent quadratic stability.
The controller method of feed forward as well as integrator anti-windup is adopted for the proportional integral (PI) controllers to minimize the degradation problem.
The proposed controller method is achieved with TMS320F28335 DSP processor and the system is experimentally tested for 12 kW PV generation systems.
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Success of the proposed design method is firstly demonstrated on an example transfer function and compared with the well-known PID controller methods from the literature through simulations.
It extends the culture class with display and controller methods.
The experimental results also demonstrate that the proposed scheme provides better performance than a discrete-time sliding mode control method with controller switching method.
These techniques differ in various aspect such as control architecture, controller tuning method, dynamic and steady state performance.
The proposed control law and controller design method are illustrated via an electric vehicle model.
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