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1、IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICSPART B: CYBERNETICS, VOL. 35, NO. 1, FEBRUARY 200523 Relay Feedback Tuning of Robust PID Controllers With Iso-Damping Property YangQuan Chen, Senior Member, IEEE, and Kevin L. Moore, Senior Member, IEEE AbstractAnewtuningmethodforproportional-inte- g
2、ral-derivative (PID) controller design is proposed for a class of unknown, stable, and minimum phase plants. We are able to design a PID controller to ensure that the phase Bode plot is fl at, i.e., the phase derivative w.r.t. the frequency is zero, at a given frequency called the “tangent frequency
3、” so that the closed-loop system is robust to gain variations and the step responses exhibit an iso-damping property. At the “tangent frequency,” the Nyquist curve tangentially touches the sensitivity circle. Several relay feedback tests are used to identify the plant gain and phase at the tangent f
4、requency in an iterative way. The identifi ed plant gain and phase at the desired tangent frequency are used to estimate the derivatives of amplitude and phase of the plant with respect to frequency at the same frequency point by Bodes integral relation- ship. Then, these derivatives are used to des
5、ign a PID controller for slope adjustment of the Nyquist plot to achieve the robustness of the system to gain variations. No plant model is assumed during the PID controller design. Only several relay tests are needed. Simulation examples illustrate the effectiveness and the simplicity of the propos
6、ed method for robust PID controller design with an iso-damping property. Index TermsBodes integral, fl at phase condition, iso-damping property, proportional-integral-derivative (PID) controller, PID tuning, relay feedback test. I. INTRODUCTION A CCORDING to a survey 1 of the state of process con- t
7、rolsystemsin1989conductedbytheJapanElectricMea- suring Instrument Manufacturers Association, more than 90 of the control loops were of the proportional-integral-deriva- tive (PID) type. It was also indicated 2 that a typical paper mill in Canada has more than 2,000 control loops and that 97% use PI
8、control. Therefore, the industrialist had concentrated on PI/PID controllers and had already developed one-button type relay auto-tuning techniques for fast, reliable PI/PID control yet with satisfactory performance 37. Although many dif- ferent methods have been proposed for tuning PID controllers,
9、 the ZieglerNichols method 8 is still extensively used for de- terminingtheparametersofPIDcontrollers.Thedesignisbased Manuscript receivedFebruary 27, 2004; revisedon May30, 2004. This paper was recommended by Associate Editor S. Phoha. Y. Chen is with the Center for Self-Organizing and Intelligent
10、Systems (CSOIS), Department of Electrical and Computer Engineering, College of Engineering, Utah State University, Logan, UT 84322-4160 USA (e-mail: ). K. L. Moore was with the Center for Self-Organizing and Intelligent Sys- tems (CSOIS), Department of Electrical and Computer Engine
11、ering, College of Engineering, Utah State University, Logan, UT 84322-4160 USA. He is now with the Research and Technology Development Center, The Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723-6099 USA (e-mail: ). Digital Object Identifi er 10.1109/TSMCB.
12、2004.837950 on the measurement of the critical gain and critical frequency of the plant and using simple formulae to compute the controller parameters. In 1984, strm and Hgglund 9 proposed an au- tomatic tuning method based on a simple relay feedback test which uses the describing function analysis
13、to give the critical gain and the critical frequency of the system. This information can be used to compute a PID controller with desired gain and phase margins. In relay feedback tests, it is a common practice to use a relay with hysteresis 9 for noise immunity. Another commonlyusedtechniqueis toin
14、troduceanartifi cialtimedelay within the relay closed-loop system, e.g., 10, to change the os- cillation frequency in relay feedback tests. After identifying a point on the Nyquist curve of the plant, the so-called modifi ed ZieglerNichols method 4, 11 can be used to move this point to another posit
15、ion in the complex plane. Two equations for phase and amplitude assignment can be obtained to retrieve the parameters of a PI controller. For a PID controller, however, an additional equation should be intro- duced. In the modifi ed ZieglerNichols method, the ratio be- tween the integral timeand the
16、 derivative time, is chosen to be constant, i.e., in order to obtain a unique solu- tion. The control performance is heavily infl uenced by the choice ofasobservedin10.Recently,theroleofhasdrawnmuch attention, e.g., 1214. For the ZieglerNichols PID tuning method,is generally assigned as a magic numb
17、er four 4. Walln, strm, and Hgglund proposed that the tradeoff be- tweenthepractical implementationandthesystemperformance is the major reason for choosing the ratio betweenandas four 12. The main contribution of this paper is the use of a new tuning rule which gives a new relationship betweenand in
18、stead of the equation proposed in the modifi ed ZieglerNichols method 4, 11. We propose to add an extra condition that the phase Bode plot at a specifi ed frequency at the point where sensitivity circle touches Nyquist curve is locally fl at which implies that the system will be more robust to gain
19、variations. This additional condition can be expressed as , which can be equivalently expressed as (1) whereis the frequency at the point of tangency and is the transfer function of the open loop system including the controllerand the plant. The above equivalence in (1) is mathematically explained i
20、n detail 1083-4419/$20.00 2005 IEEE 24IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICSPART B: CYBERNETICS, VOL. 35, NO. 1, FEBRUARY 2005 Fig. 1.Illustration of the basic idea for isodamping robust PID tuning. in the Appendix. In this paper, we consider the PID controller of the following form: (2)
21、 This “fl at phase” idea proposed earlier is illustrated in Fig. 1(a) where the Bode diagram of the open loop system is shown with its phase being tuned locally fl at around. We can expect that, if the gain increases or decreases a certain per- centage, the phase margin will remain unchanged. Theref
22、ore, in this case, the step responses under various gains changing around the nominal gain will exhibit an iso-damping property, i.e., the overshoots of step responses will be almost the same. This can also be explained by Fig. 1(b) where the sensitivity circle touches the Nyquist curve of the open
23、loop system at the fl at phase point. Clearly, since gain variations are unavoidable in the real world due to possible sensor distortion, environment change and etc., the iso-damping is a desirable property which ensures that no harmful excessive overshoot is resulted due to gain variations. Assume
24、that the phase of the open loop system atis (3) So,thedefi nitionofisthephaseangleof at the frequency. Then, the corresponding gain can be ex- pressed by (4) With these two conditions, (3) and (4), and the new condition (1), all the three parameters of PID controller can be calculated. As in the Zie
25、glerNichols method,andare used to tune the phase condition (3) andis determined by the gain condi- tion(4).However,thecondition(1)givesarelationshipbetween andinstead of. Note that in this new tuning method,is not necessarily thegain crossoverfrequencyalthoughclose. Precisely,is the frequency at whi
26、ch the Nyquist curve tangentially touches the sensitivity circle. Similarly, the tangent phase, is not nec- essarily the phase margin usually used in previous PID tuning methods. According to 4, the phase margin is always selected from 30 to 60 . Due to the fl at phase condition (1), the deriva- tiv
27、e of the phase nearwill be relatively small. Therefore, if is selected to be around 30 , such as 35 , the phase margin will be generally within the desired interval. II. SLOPEADJUSTMENT OF THEPHASEBODEPLOT In this section, we will show howandare related under the new condition (1). Substitutebyso th
28、at the closed loop system can be written as, where (5) is the PID controller obtained from (2). The phase of the closed loop system is given by (6) The derivative of the closed loop systemwith respect to can be written as follows: (7) From (1), the phase of the derivative of the open loop system can
29、 not obviously be obtained directly from (7). So, we need to simplify (7). The derivative of the controller with respect tois (8) To calculate, since we have (9) CHEN AND MOORE: RELAY FEEDBACK TUNING OF ROBUST PID CONTROLLERS WITH ISO-DAMPING PROPERTY25 differentiating (9) with respect togives (10)
30、Straightforwardly, we arrive at (11) Substituting (5), (8), and (11) into (7) gives (12) Hence, the slope of the Nyquist curve at any specifi c frequency is given by (13) where, following the notations introduced in 15, 16, and are used throughout this paper defi ned as follows: (14) (15) Here,ourta
31、skistoadjusttheslopeoftheNyquistcurvetomatch the condition shown in (1). By combining (1), (6), and (13), one obtains (16) After a straightforward calculation, one obtains the relationship betweenandas follows: (17) where. Notethatduetothenatureofthequadratic equation,analternativerelationship,istha
32、t .We should discard one to ensure that thegain is a real positive number to avoid the right half plane zeros in. In what follows, (17) is used. Additional,could be negative ifis not specifi ed properly. Fig. 2. Relay plus artifi cial time delay (?) feedback system. The approximation offor stable an
33、d minimum phase plant can be given as follows 17: (18) whereis the static gain of the plant,is the phase and is the gain of the plant at the specifi c frequency. It is obvious thatandare related byalone. For this newtuning method,includes alltheinformationthatwe need of the unknown plant. In what fo
34、llows, we show that theesti- mate formula can be extended to plants with integrators and/or time delay. Consider the plant withintegrators (19) Clearly, one can not get the static gain of such systems to com- putedirectly. But from (15) (20) for the systems with integrators,should be estimated ac- c
35、ording to the systems without any integrator. For the plant with a time delay (21) in the same way (22) Consequently, substituting (18) we obtain (23) Obviously, the time delay will not contribute to the estimation of. So, in general, for the plant with both integrators and a time delay (24) 26IEEE
36、TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICSPART B: CYBERNETICS, VOL. 35, NO. 1, FEBRUARY 2005 Fig. 3.Frequency responses of? ?and? ? ? (dashed line: the modifi ed ZieglerNichols, solid line: the proposed). (a) Comparison of Bode plots. (b) Comparison of Nyquist plots. Fig. 4.Comparisons of frequen
37、cy responses and step responses of? ?and? ? ? (dashed line: the modifi ed ZieglerNichols, solid line: the proposed. For both schemes, gain variations 1, 1.1, 1.3 are considered in step responses). (a) Comparison of Nyquist plots. (b) Comparison of step responses. according to (20) and (23) (25) III.
38、 NEWPID CONTROLLERDESIGNFORMULAE Supposethatwehaveknownat.Howtoexperimentally measurewill be discussed in the next section based on the measurement ofand. To write down explicitly the formulae for, and, let us summarize what are known at this point. We are given 1), the desired tangent frequency; 2)
39、, the desired tangent phase; 3) measurement ofand 4) the estimation of. Furthermore, using (3) and (4), the PID controller parameters can be set as follows: (26) (27) where. Finally,can be computed from (17). Remark III.1: The selection ofheavily depends on the system dynamics. For most of plants, t
40、here exists an interval for the selection of to achieve fl at phase condition. If no better idea about, the desired cutoff frequency can be used as the initial value. For, a good choice is within 30 to 35 . CHEN AND MOORE: RELAY FEEDBACK TUNING OF ROBUST PID CONTROLLERS WITH ISO-DAMPING PROPERTY27 F
41、ig. 5.Comparisons of frequency responses of? ?and? ? ? (dashed line: the modifi ed ZieglerNichols, solid line: the proposed). (a) Comparison of Bode plots. (b) Comparison of Nyquist plots. Fig.6.Comparisonofstepresponsesof? ?and? ? ?(solid line: the proposed modifi ed controller with gain variations
42、 1, 0.9, 0.8; dotted line: the modifi ed ZieglerNichols controller with gain variations 1, 0.9, 0.8). IV. MEASURINGarg,ANDVIARELAY FEEDBACKTESTS Following the discussion in the previous section, the param- eters of a PID controller can be calculated straightforwardly if we know, and. As indicated in
43、 (18),can be obtained from the knowl- edge of the static gain, and. The static gainoris very easy to measure and it is as- sumed to be known. The relay feedback test, shown in Fig. 2, can be used to “measure”and. In the relay feedback experiments, a relay is connected in closed-loop with the unknown
44、 plant as shown in Fig. 2 which is usually used to identify one point on the Nyquist diagram of the plant. To changetheoscillationfrequencyduetorelayfeedback,anartifi - cialtimedelayisintroducedintheloop.Theartifi cialtimedelay is the tuning knob here to change the oscillation frequency. Our problem
45、 here is how to get the right value ofwhich cor- responds to the tangent frequency. To solve this problem, an iterative method can be used as summarized in the following: 1. Start with the desired tangent fre- quency. 2. Select two different values (and ) for the time delay parameter prop- erly and
46、do the relay feedback test twice. Then, two points on the Nyquist curve of the plant can be obtained. The frequen- cies of these points can be represented as andwhich correspond toand, respectively. The iteration begins with these initial valuesand. 3. With the values obtained in the pre- vious iter
47、ations, the artificial time delay parametercan be updated using a simple interpolation/extrapolation scheme as follows: whererepresents the current iteration number. With the new, after the relay test, the corresponding frequencycan be recorded. 4. Comparewith. If, quit iteration. Otherwise, go to S
48、tep 3. Here, is a small positive number. The iterative method proposed above is feasible because in general the relationship between the delay timeand the oscil- lation frequencyis one-to-one. After the iteration, the fi nal oscillation frequency is quite close to the desired oneso that the oscillat
49、ion frequency is considered as. Hence, the amplitude and the phase of the 28IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICSPART B: CYBERNETICS, VOL. 35, NO. 1, FEBRUARY 2005 Fig. 7.Comparisons of frequency responses of? ?and? ? ? (dashed line: the modifi ed ZieglerNichols, solid line: the propose
50、d). (a) Comparison of Bode plots. (b) Comparison of Nyquist plots. Fig.8.Comparisonofstepresponsesof? ?and? ? ?(solid line: the proposed modifi ed controller with gain variations 1, 1.5, 1.7; dotted line: the modifi ed ZieglerNichols controller with gain variations 1, 1.5, 1.7). plant at the specifi
51、 ed frequency can be obtained. Using (18), one can calculate the approximation of. V. ILLUSTRATIVEEXAMPLES The new PID design method presented above will be illus- trated via some simulation examples. In the simulation, the fol- lowing classes of plants, studied in 12, will be used. (28) (29) (30) (
52、31) A. High-Order Plant Considerplantin(28).Thisplantwasalsousedin15. The specifi cations are set asand. The PID controller designed by using the proposed tuning for- mulae is (32) The PID controller designed by the modifi ed ZieglerNichols method is (33) The Bode and the Nyquist plots are compared
53、in Fig. 3. From the Bode plots, it is seen that the phase curve near the fre- quency is fl at. The phase margin roughly equals 45 . That means the controller moves the point of the Nyquist curve toon the unit circle with a phase of 135 and at the same time makes the Nyquist curve satisfy (1). Howeve
54、r, in Fig. 3(b), the Nyquist plot of the open loop system is not tangential to the sensitivity circle at the fl at phase but to another point on the Nyquist curve. Defi ne the frequency interval corresponding to the fl at phase. So, the gain crossover frequencycan be moved within by adjustingbywhere
55、. For this example, ifis changed to, the fl at phase segment will tangentially touch the sensitivity circle. The Nyquist plot of the open loop system with the modifi ed proposed PID controller, i.e., is shown in Fig. 4(a) and the step responses of the closed loop system are compared in Fig. 4(b). Co
56、mparing the closed-loop system with the modifi ed proposed PID controller to that with the modifi ed ZieglerNichols controller, the overshoots of the step responses from the proposed scheme remain almost invariant under gain variations. However, the overshoots using the modifi ed ZieglerNichols cont
57、roller change remarkably. CHEN AND MOORE: RELAY FEEDBACK TUNING OF ROBUST PID CONTROLLERS WITH ISO-DAMPING PROPERTY29 Fig. 9.Comparisons of frequency responses of? ?and? ? ? (Dashed line: The modifi ed ZieglerNichols, Solid line: The proposed). (a) Comparison of Bode plots. (b) Comparison of Nyquist
58、 plots. B. Plant With an Integrator For the plant, the proposed controller is with respect to,and. The controller designed by the modifi ed ZieglerNichols method is TheBodeplotofthissituation,showninFig.5(a),isquitedif- ferent with that of plant . The fl at phase occurs at the peak of the phase Bode
59、 plot. The Nyquist diagrams are compared in Fig. 5(b). The step responses are compared in Fig. 6 where the proposed controller does not exhibit an obviously better per- formance than the modifi ed ZieglerNichols controller for the iso-damping property because of the effect of the integrator. C. Plant With a Time Delay For the plantthe proposed controller is with respect to, and. The controllerdesignedbythemodifi edZieglerNicholsmethodis The Bode plotsand Nyquistplotsare compared inFig. 7.The step r
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