1、 1 英文原文 Introductions to Control Systems Automatic control has played a vital role in the advancement of engineering and science. In addition to its extreme importance in space-vehicle, missile-guidance, and aircraft-piloting systems, etc, automatic control has become an important and integral part
2、of modern manufacturing and industrial processes. For example, automatic control is essential in such industrial operations as controlling pressure, temperature, humidity, viscosity, and flow in the process industries； tooling, handling, and assembling mechanical parts in the manufacturing industrie
3、s, among many others. Since advances in the theory and practice of automatic control provide means for attaining optimal performance of dynamic systems, improve the quality and lower the cost of production, expand the production rate, relieve the drudgery of many routine, repetitive manual operation
4、s etc, most engineers and scientists must now have a good understanding of this field. The first significant work in automatic control was James Watts centrifugal governor for the speed control of a steam engine in the eighteenth century. Other significant works in the early stages of development of
5、 control theory were due to Minorsky, Hazen, and Nyquist, among many others. In 1922 Minorsky worked on automatic controllers for steering ships and showed how stability could be determined by the differential equations describing the system. In 1934 Hazen, who introduced the term “ ervomechanisms”
6、for position control systems, discussed design of relay servomechanisms capable of closely following a changing input. During the decade of the 1940s, frequency-response methods made it possible for engineers to design linear feedback control systems that satisfied performance requirements. From the
7、 end of the 1940s to early 1950s, the root-locus method in control system design was fully developed. The frequency-response and the root-locus methods, which are the 2 core of classical theory, lead to systems that are stable and satisfy a set of more or less arbitrary performance requirements. Suc
8、h systems are, in general, not optimal in any meaningful sense. Since the late 1950s, the emphasis on control design problems has been shifted from the design of one of many systems that can work to the design of one optimal system in some meaningful sense. As modern plants with many inputs and outp
9、uts become more and more complex, the description of a modern control system requires a large number of equations. Classical control theory, which deals only with single-input-single-output systems, becomes entirely powerless for multiple-input-multiple-output systems. Since about 1960, modern contr
10、ol theory has been developed to cope with the increased complexity of modern plants and the stringent requirements on accuracy, weight, and industrial applications. Because of the readily available electronic analog, digital, and hybrid computers for use in complex computations, the use of computers
11、 in the design of control systems and the use of on-line computers in the operation of control systems are now becoming common practice. The most recent developments in modern control theory may be said to be in the direction of the optimal control of both deterministic and stochastic systems as wel
12、l as the adaptive and learning control of complex systems. Applications of modern control theory to such nonengineering fields as biology, economics, medicine, and sociology are now under way, and interesting and significant results can be expected in the near future. Next we shall introduce the ter
13、minology necessary to describe control systems. Plants. A plant is a piece of equipment, perhaps just a set of machine parts functioning together, the purpose of which is to perform a particular operation. Here we shall call any physical object to be controlled (such as a heating furnace, a chemical
14、 reactor, or a spacecraft) a plant. Processes. The Merriam-Webster Dictionary defines a process to be a natural, progressively continuing operation or development marked by a series of gradual changes that succeed one another in a relatively fixed 3 way and lead toward a particular result or end； or
15、 an artificial or voluntary, progressively continuing operation that consists of a series of controlled actions or movements systematically directed toward a particular result or end.Here we shall call any operation to be controlled a process. Examples are chemical, economic, and biological process.
16、 Systems. A system is a combination of components that act together and perform a certain objective. A system is not limited to abstract, dynamic phenomena such as those encountered in economics. The word “system” should, therefore, be interpreted to imply physical, biological, economic, etc., syste
17、m. Disturbances. A disturbance is a signal which tends to adversely affect the value of the output of a system. If a disturbance is generated within the system, it is called internal, while an external disturbance is generated outside the system and is an input. Feedback control. Feedback control is
18、 an operation which, in the presence of disturbances, tends to reduce the difference between the output of a system and the reference input (or an arbitrarily varied, desired state) and which does so on the basis of this difference. Here, only unpredictable disturbance (i.e., those unknown beforehan
19、d) are designated for as such, since with predictable or known disturbances, it is always possible to include compensation with the system so that measurements are unnecessary. Feedback control systems. A feedback control system is one which tends to maintain a prescribed relationship between the ou
20、tput and the reference input by comparing these and using the difference as a means of control. Note that feedback control systems are not limited to the field of engineering but can be found in various nonengineering fields such as economics and biology. For example, the human organism, in one aspe
21、ct, is analogous to an intricate chemical plant with an enormous variety of unit operations.The process control of this transport and chemical-reaction network involves a variety of control loops. In fact, human organism is an extremely complex feedback control system. Servomechanisms. A servomechanism is a feedback control system
