Download Compound Control Methodology for Flight Vehicles by Yuanqing Xia PDF

By Yuanqing Xia

“Compound keep watch over technique for Flight autos” makes a speciality of new keep an eye on equipment for flight automobiles. during this monograph, the concept that of compound regulate is brought. it truly is proven that either Sliding Mode regulate (SMC) and lively Disturbance Rejection keep watch over (ADRC) have their very own merits and obstacles, i.e., chattering of SMC and the observability of prolonged country observer (ESO), respectively. it's proven that compound keep an eye on combines their merits and improves the functionality of the closed-loop platforms. The publication is self-contained, supplying adequate mathematical foundations for knowing the contents of every bankruptcy. it is going to be of vital curiosity to scientists and engineers engaged within the box of flight car control.

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Example text

At first, the characteristics and the main control problem for blended system are analyzed and the blended control model is established. Then, three closed-loop design method is proposed for the blended control system. The inner-loop and medium-loop are designed by ADRC law, which is insensitive to the variation of the plant parameters and external disturbance. The external-loop is designed by PI controller. The simulation results show that the designed system attains high dynamic performance and steady-state performance and the controller has excellent robustness performance.

In [6], three different controllers are proposed to have convenient and smooth elevator motion. The proposed controllers are PID, sliding mode, and PID sliding mode controllers. The disadvantages of the proposed controllers are discussed. Although, PID controller is fast, its response affected considerably by external disturbances. Unlike PID, the sliding mode controller is so robust, however its transient is unsuitable based on application conditions. In a word, the response of the system should be fast, robust, and without considerable overshoots and oscillations.

3). 1) is not a good way of approximating v(t). ˙ Instead, we propose the following approximation: v(t) ˙ = v(t−τ1 )−v(t−τ2 ) τ2 −τ1 which can be implemented approximately using the second order transfer function w1 (s) = 1 1 τ2 τ1 ( τ1 s+1 − 1 τ2 s+1 ), τ2 > τ1 > 0 Here, as verified in simulations, this resolves the aforementioned problem of noise amplification. The performance of some control systems is restricted by the differential signals selected from the noncontinuous noisy measured signals.

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