An auto-tuning controller

Claim 2

An auto-tuning controller comprising: a controller for controlling a controlled system; an reasoning rule memory for storing a reasoning rule to be used for reasoning an optimum control parameter of said controller; and an adjustment section for adjusting said optimum control parameter of said controller by a fuzzy reasoning with the use of said reasoning rule.

Claim 3

An auto-tuning controller as defined in claim 1, wherein said adjustment section comprises a characteristics variable extractor which receives a reference value signal output from a reference value signal generator, a controlled variable which is output from said controlled system, or an error between said reference value signal and said controlled variable, and outputs at least a characteristics variable representing the state of the controlled system, and a fuzzy reasoner which adjusts said control parameter in accordance with said reasoning rule from said characteristics variable.

Claim 4

An auto-tuning controller as defined in Claim 1, wherein said reasoning rule of velocity type fuzzy reasoning has a form comprising at least a former part proposition concerning a said characteristics variable the degree of coming into existence of which is represented by a predetermined membership function and a latter part proposition including an instruction concerning the adjustment of said control parameter.

Claim 5

An auto-tuning controller comprising: a controller which receives an error between a reference value signal which is output from a reference value signal generator and a controlled variable which is output from a controlled system, and outputs an operation variable which is to be input to said controlled system; a characteristics variable extractor which receives said error, said reference value signal, or said controlled variable, and outputs at least a characteristics variable representing the state of the controlled system; a reasoning rule memory for storing a reasoning rule to be used for reasoning an optimum control parameter of said controller; and a position type fuzzy reasoner which reasons an optimum control parameter in accordance with said reasoning rule from said characteristics variable and outputs said optimum control parameter to said controller.

Claim 6

An auto-tuning controller comprising: a controller which receives an error between a reference value signal which is output from a reference value signal generator and a controlled variable which is output from a controlled system, and outputs an operation variable which is to be input to said controlled system; a characteristics variable extractor which receives said error, said reference value signal, or said controlled variable, and outputs at least a characteristics variable representing the state of the controlled system; a reasoning rule memory for storing a reasoning rule to be used for reasoning an optimum control parameter of said controller; and a position type fuzzy reasoner which reasons an optimum control parameter in accordance with said reasoning rule from said characteristics variable and outputs said optimum control parameter to said controller.

Claim 7

An auto-tuning controller as defined in Claim 4, wherein said reasoning rule of position type fuzzy reasoning has a form comprising at least a former part proposition concerning a said characteristics variable the degree of coming into existence of which is represented by a predetermined membership function and a latter part proposition including an instruction concerning the adjustment of said control parameter.

Claim 8

An auto-tuning controller comprising: a controller which receives an error between a reference value signal which is output from a reference value signal generator and a controlled variable which is output from a controlled system, and outputs an operation variable which is to be input to said controlled system; a switch for selecting one from said operation quantity and a test signal as an input to said controlled system; a test signal generator for generating a test signal; a characteristics variable extractor which receives said test signal and the output of said controlled system, and outputs at least a characteristics variable representing the characteristics of said controlled system; a reasoning rule memory for storing a reasoning rule to be used for reasoning an optimum control parameter of said controller; and a position type fuzzy reasoner which reasons an optimum control parameter in accordance with said reasoning rule from said characteristics variable and outputs said optimum control parameter to said controller.

Claim 9

An auto-tuning controller comprising: a controller which receives an error between a reference value signal which is output from a reference value signal generator and a controlled variable which is output from a controlled system, and outputs an operation variable which is to be input to said controlled system; a switch for selecting one from said operation quantity and a test signal as an input to said controlled system; a test signal generator for generating a test signal; a characteristics variable extractor which receives said test signal and the output of said controlled system, and outputs at least a characteristics variable representing the characteristics of said controlled system; a reasoning rule memory for storing a reasoning rule to be used for reasoning an optimum control parameter of said controller; and a position type fuzzy reasoner which reasons an optimum control parameter in accordance with said reasoning rule from said characteristics variable and outputs said optimum control parameter to said controller.

Claim 10

An auto-tuning controller as defined in Claim 6, wherein said test signal is a step signal.

Claim 11

An auto-tuning controller as defined in Claim 6, wherein said reasoning rule of position type fuzzy reasoning has a form comprising at least a former part proposition concerning a said characteristics variable the degree of coming into existence of which is represented by a predetermined membership function and a latter part proposition including an instruction concerning the adjustment of said control parameter.

Claim 12

An auto-tuning controller comprising: a controller which receives an error and outputs a manipulated variable as an input to a controlled system; a switch for selecting one as said error from an error between the controlled variable which is output from said controlled system and a test signal and an error between a reference value signal which is output from a reference value signal generator and said controlled variable; a characteristics variable extractor which receives the error between said controlled variable and said test signal, said controlled variable, or said test signal, and outputs a characteristics variable representing the characteristics of said controlled system; a reasoning rule memory for storing a reasoning rule to be used for reasoning an optimum control parameter of said controller; and a position type fuzzy reasoner which reasons an optimum control parameter in accordance with said reasoning rule from said characteristics variable and outputs said optimum control parameter to said controller.

Claim 13

An auto-tuning controller comprising: a controller which receives an error and outputs a manipulated variable as an input to a controlled system; a switch for selecting one as said error from an error between the controlled variable which is output from said controlled system and a test signal and an error between a reference value signal which is output from a reference value signal generator and said controlled variable; a characteristics variable extractor which receives the error between said controlled variable and said test signal, said controlled variable, or said test signal, and outputs a characteristics variable representing the characteristics of said controlled system; a reasoning rule memory for storing a reasoning rule to be used for reasoning an optimum control parameter of said controller; and a position type fuzzy reasoner which reasons an optimum control parameter in accordance with said reasoning rule from said characteristics variable and outputs said optimum control parameter to said controller.

Claim 14

An auto-tuning controller as defined in Claim 9, wherein said test signal is a pulse signal.

Claim 15

ll. An auto-tuning controller as defined in Claim 9, wherein said reasoning rule of position type fuzzy reasoning has a form comprising at least a former part proposition concerning a said characteristics variable the degree of coming into existence of which is represented by a predetermined membership function and a latter part proposition including an instruction concerning the adjustment of said control parameter.

Claim 16

An auto-tuning controller comprising: a controller which receives an error between a reference value signal which is output from a reference value signal generator and a controlled variable which is output from a controlled system, and outputs an operation variable which is to be input to said controlled system; a characteristics variable extractor which receives said error, said reference value signal, or said controlled variable, and outputs at least a characteristics variable representing the state of the controlled system; a reasoning rule memory for storing a reasoning rule to be used for reasoning an optimum control parameter of said controller; a velocity type fuzzy reasoner which fuzzy-reasons the adjustment variable of the control parameter: and an integrator which integrates the output of said velocity.type fuzzy reasoner and outputs the result to said controller.

Claim 17

An auto-tuning controller comprising: a controller which receives an error between a reference value signal which is output from a reference value signal generator and a controlled variable which is output from a controlled system, and outputs an operation variable which is to be input to said controlled system; a characteristics variable extractor which receives said error, said reference value signal, or said controlled variable, and outputs at least a characteristics variable representing the state of the controlled system; a reasoning rule memory for storing a reasoning rule to be used for reasoning an optimum control parameter of said controller; a velocity type fuzzy reasoner which fuzzy-reasons the adjustment variable of the control parameter: and an integrator which integrates the output of said velocity.type fuzzy reasoner and outputs the result to said controller.

Claim 18

An auto-tuning controller comprising: a controller which receives an error and outputs a manipulated variable as an input to a controlled system; a switch for selecting as said error one from an error between the controlled variable which is output from said controlled system and a test signal and an error between a reference value signal which is output from a reference value signal generator and said controlled variable; a reasoning rule memory for storing an reasoning rule to be used for reasoning a optimum control parameter of said controller; a velocity type fuzzy reasoner which adjusts said control parameter in accordance with said reasoning rule from said characteristics variable; and an integrator which integrates the output of said velocity type fuzzy reasoner and outputs the result to said controller.

Claim 19

An auto-tuning controller comprising: a controller which receives an error and outputs a manipulated variable as an input to a controlled system; a switch for selecting as said error one from an error between the controlled variable which is output from said controlled system and a test signal and an error between a reference value signal which is output from a reference value signal generator and said controlled variable; a reasoning rule memory for storing an reasoning rule to be used for reasoning a optimum control parameter of said controller; a velocity type fuzzy reasoner which adjusts said control parameter in accordance with said reasoning rule from said characteristics variable; and an integrator which integrates the output of said velocity type fuzzy reasoner and outputs the result to said controller.

Claim 20

An auto-tuning controller as defined in Claim 13, wherein said reasoning rule of velocity type fuzzy reasoning has a form comprising at least a former part proposition concerning a said characteristics variable the degree of coming into existence of which is represented by a predetermined membership function and a latter part proposition including an instruction concerning the adjustment of said control parameter.