Digital control of dynamic systems
This well-respected work discusses the use of digital computers in the real-time control of dynamic systems. The emphasis is on the design of digital controls that achieve good dynamic response and small errors while using signals that are sampled in time and quantized in amplitude. Both classical and modern control methods are described and applied to illustrative examples. The strengths and limitations of each method are explored to help the reader develop satisfactory designs with the least effort.Two new chapters have been added to the third edition offering a review of feedback control systems and an overview of digital control systems. MATLAB statements and problems have been more thoroughly and carefully integrated throughout the book to offer readers a more complete design picture. The new edition contains up-to-date material on state-space design and twice as many end-of-chapter problems.
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amplitude analysis approximation assume BIBO stable block diagram Chapter characteristic equation coefficients compensation compute consider constant continuous systems control law control system converter corresponding damping deﬁne deﬁnition delay described design methods difference equation digital control discrete equivalent discrete signals discrete systems discrete transfer function evaluation example feedback Figure ﬁlter ﬁnal ﬁnd ﬁnite ﬁrst ﬁrst-order ﬁxed formula frequency response gain given identiﬁcation impulse integral control inverse Laplace transform least squares linear magnitude matrix noise obtain output overshoot parameters phase margin plant plot polynomial PROBLEMS AND EXERCISES quantization rad/sec rectangular rule reference input result root locus roundoff sample and hold sample period sample rate SAMPLED SIGNAL SAMPLED-DATA SYSTEMS sensor shown in Fig shows signal sinusoid solution solve speciﬁcations stable state-space steady-state error step response Table E.1 techniques u(kT unit circle unit-pulse variables z-plane z-transform zero-order hold